Category Archives: Cloud Computing

Healthcare Cloud Computing World Market Analyses; 2014-2019 & 2020-2026 – Yahoo Finance

DUBLIN, Jan. 17, 2020 /PRNewswire/ -- The "Healthcare Cloud Computing Market Size, Share & Trends Analysis Report By Application, By Deployment Model (Private, Public, Hybrid), By Pricing Model, By Service Model, By End Use (Providers, Payers), And Segment Forecasts, 2019 - 2026" report has been added to's offering.

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The global healthcare cloud computing market size is expected to reach USD 27.8 billion by 2026, exhibiting a CAGR of 11.8% over the forecast period.

The associated benefits of data analytics and increase in demand for flexible & scalable data storage by healthcare professionals is expected to drive the demand for these services over the forecast period.

Healthcare organizations are digitalizing their IT infrastructure and deploying cloud servers to improve features of systems. These solutions help organizations in reducing infrastructure cost & interoperability issues and aid in complying with regulatory standards. Hence, rising demand from health professionals to curb IT infrastructure costs and limit space usage are anticipated to boost market growth over the forecast period.

Increase in government initiatives undertaken to develop and deploy IT systems in this industry is one of the key drivers of this market. Moreover, increase in partnerships between private & public players and presence of a large number of players offering customized solutions are some of the factors anticipated to drive demand in the coming years.

Further key findings from the study suggest:

Key Topics Covered

Chapter 1 Methodology & Scope

Chapter 2 Executive Summary2.1 Market Outlook2.2 Segment Outlook2.3 Competitive Insights

Chapter 3 Healthcare Cloud Computing Market Variables, Trends, and Scope3.1 Market Lineage Outlook3.1.1 Parent market outlook3.1.2 Ancillary market outlook3.2 Penetration & Growth Prospect Mapping3.3 User Perspective Analysis3.3.1 Consumer behavior analysis3.3.2 Market influencer analysis3.4 List of Key End Users3.5 Regulatory Framework3.6 Market Dynamics3.6.1 Market driver analysis3.6.2 Market restrain analysis3.6.3 Industry challenges3.7 Healthcare Cloud Computing: Market Analysis Tools3.7.1 Industry analysis - Porter's3.7.2 PESTLE analysis3.7.3 Major deals and strategic alliances3.7.4 Market entry strategies

Chapter 4 Healthcare Cloud Computing Market: Segment Analysis, by Application, 2014-2026 (USD Million)4.1 Definition and Scope4.2 Application Market Share Analysis, 2018 & 20264.3 Segment Dashboard4.4 Global Healthcare Cloud Computing Market, by Application, 2015 to 20264.5 Market Size & Forecasts and Trend Analyses, 2015 to 20264.5.1 Clinical information systems4.5.2 Non-clinical information systems

Chapter 5 Healthcare Cloud Computing Market: Segment Analysis, by Deployment Methods, 2014 - 2026 (USD Million)5.1 Definition and Scope5.2 Deployment Methods Market Share Analysis, 2018 & 20265.3 Segment Dashboard5.4 Global Healthcare Cloud Computing Market, by Deployment Methods, 2015 to 20265.5 Market Size & Forecasts and Trend Analyses, 2015 to 20265.5.1 Private cloud5.5.2 Public cloud5.5.3 Hybrid cloud

Chapter 6 Healthcare Cloud Computing Market: Segment Analysis, by Pricing Model, 2014 - 2026 (USD Million)6.1 Definition and Scope6.2 Deployment Methods Market Share Analysis, 2018 & 20266.3 Segment Dashboard6.4 Global Healthcare Cloud Computing Market, by Pricing Model, 2015 to 20266.5 Market Size & Forecasts and Trend Analyses, 2015 to 20266.5.1 Pay-as-you-go6.5.2 Spot pricing

Chapter 7 Healthcare Cloud Computing Market: Segment Analysis, by Services Model, 2014 - 2026 (USD Million)7.1 Definition and Scope7.2 Deployment Methods Market Share Analysis, 2017 & 20267.3 Segment Dashboard7.4 Global Healthcare Cloud Computing Market, by Service Models, 2015 to 20267.5 Market Size & Forecasts and Trend Analyses, 2015 to 20267.5.1 Software-as-a-service7.5.2 Infrastructure-as-a-Services7.5.3 Platform-as-a-Service

Chapter 8 Healthcare Cloud Computing Market: Segment Analysis, by End Use, 2014 - 2026 (USD Million)8.1 Definition and Scope8.2 End-use Methods Market Share Analysis, 2018 & 20268.3 Segment Dashboard8.4 Global Healthcare Cloud Computing Market, by End Use, 2015 to 20268.5 Market Size & Forecasts and Trend Analyses, 2015 to 20268.5.1 Healthcare providers8.5.2 Healthcare payers

Chapter 9 Healthcare Cloud Computing Market: Regional Market Analysis, 2014 - 2026 (USD Million)9.1 Definition & Scope9.2 Regional Market Share Analysis, 2018 & 20269.3 Regional Market Dashboard9.4 Regional Market Snapshot9.5 Regional Market Share and Leading Players, 20189.6 SWOT Analysis, by Factor (Political & Legal, Economic and Technological)9.7 Market Size, & Forecasts, Volume and Trend Analysis, 2018 to 20259.8 North America9.9 Europe9.10 Asia-Pacific9.11 Central & South America9.12 MEA

Chapter 10 Healthcare Cloud Computing Market - Competitive Analysis10.1 Recent Developments & Impact Analysis, by Key Market Participants10.1.1 Ansoff Matrix10.1.2 Heat Map Analysis10.2 Company Categorization10.2.1 Innovators10.3 Company Profiles10.3.1 NextGen Healthcare10.3.2 Carestream Corporation10.3.3 INFINITT Healthcare10.3.4 Dell Inc.10.3.5 NTT DATA Corporation10.3.6 Sectra AB10.3.7 Allscripts10.3.8 Ambra Health10.3.9 Nuance Communications10.3.10 Siemens Healthineers

Chapter 11 KOL Commentary11.1 Key Insights11.2 KOL Views

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Healthcare Cloud Computing World Market Analyses; 2014-2019 & 2020-2026 - Yahoo Finance

A Top Cloud Stock to Buy in 2020 and Hold for the Long Run – Motley Fool

The cloud computing industry has been growing at a nice clip for the past few years, and it isn't expected to slow down anytime soon. IDC estimatesthat public cloud spending will hit $500 billion by 2023 from $229 billion last year. That translates into a compound annual growth rate of 22.3%, which would be driven by increasing demand for Software-as-a-Service (SaaS) by corporations and enterprises.

Gartner, for instance, forecaststhat SaaS revenue could jump over 50% by 2022. Nutanix (NASDAQ:NTNX) is one cloud stock investors can buy to take advantage of the growth in public cloud spending, as it stands to win big from the SaaS vertical. Let's see how.

Image source: Getty Images.

Nutanix has quickly transformed itself from selling hardware appliances to a software-centric business model in the space of just fivequarters. The company was getting a quarterof its revenue from selling hardwarefor hyper-converged cloud infrastructure before the pivot happened. But that business had weak margins and the prospects looked bleak thanks to ballooning memory costs.

In fact, Nutanix's gross profit margin was 61.9% when Nutanix announcedthe software pivot. The metric was moving in the wrong direction as hardware costs pressured the company's margin profile. The story is much different now, as Nutanix has started getting a big chunk of its revenue from software sales.

NTNX Gross Profit Margin data by YCharts

In the firstquarter of fiscal 2020, Nutanix's software and support revenue came in at $305 million, an increase of 9% over the prior-year period. The company's total revenue stood at $314.8 million, which means that hardware sales have been reduced to a tiny portion of the company's overall business. More specifically, Nutanix got just $9.7 million in revenue from hardware sales last quarter as compared to $32.5 million in the year-ago period.

Subscription-only sales clockedimpressive annual growth of around 71% to almost $218 million. However, one-time software sales plunged to $77.5 million from $146.5 million a year ago as Nutanix's transition to a software-centric model continued. This means that Nutanix now gets just over 69% of its total revenue from selling software subscriptions.

So, the company still has some way to go before it completely eliminates its legacy hardware and software businesses. Nutanix has set itself a targetof generating 75% of total billings from the subscription business by the end of the current fiscal year. It is close to attaining that target, as now 72.5% of billingsin the first quarter came from subscriptions.

It won't be surprising to see Nutanix's subscription business supply a greater proportion of the overall revenue in the future, considering the pace of growth in its deferred revenue. The company's deferred revenue shotup 39% annually to $975 million during the first quarter of fiscal 2020, while its overall revenue was flat on a year-over-year basis at $314.8 million.

Deferred revenue is the amount of money collected by a company in advance for services that will be rendered at a future date. The deferred revenue is recognized on the income statement when services are actually delivered.

For Nutanix, this means that the company's subscription business is succeeding. In fact, the average contract term of Nutanix's subscription customers stoodat 3.9 years in the last reported quarter. This points toward long-term growth at Nutanix, as the company is able to lock customers in long-term contracts.

What's more, Nutanix's existing customers are spending more money on its services. That's evident from the company's 132% dollar-based net expansion ratelast quarter. This is considered to be a solidnumber for a SaaS company as per Crunchbase estimates, which puts the industry average at 106%. Additionally, Nutanix was able to retain 97% of its customers last quarter.

In all, Nutanix looks like a solid cloud computing bet, as it is operating in a fast-growing market and is pulling the right strings to increase both margins and revenue. Mordor Intelligence estimates that the hyper-converged cloud infrastructure market will clock13% annual growth from 2020 to 2025. The growth in Nutanix's software business suggests that it is growing at a faster pace than the industry it operates in.

This makes Nutanix an attractive bet for anyone looking to buy a top stock for the long run.

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A Top Cloud Stock to Buy in 2020 and Hold for the Long Run - Motley Fool

Global IT compensation is at an all-time high, thanks to skills trainings – TechRepublic

IT professionals earned an average of $5,000 more in 2019, all because of job performance, Global Knowledge found.

The average annual salary for IT professionals worldwide is $89,732the highest yet found by Global Knowledge's yearly report. The report is the largest worldwide study of professionals in the tech community and has been conducted every year for more than a decade.

IT professionals earned an average of $5,000 more in 2019 than in 2018, with the main reason being improved job performance, the report found.

This increase in both salaries and performance quality indicates that more people are taking steps to progress their professional development, resulting in better performance and more compensation, according to the report.

SEE: Why IT pros need soft skills to advance their careers (free PDF) (TechRepublic)

Global Knowledge's 2019 IT Skills and Salary Survey used the Qualtrics Insight platform to tabulate submissions. The survey was sent out via email to recipients in the Global Knowledge database and yielded 12,271 responses, with more than half (54%) from the US and Canada, and the rest from other countries around the world.

Globally, the highest salaries in various functional areas included cloud computing ($115,889), IT architecture and design ($98,580), project management ($98,344), and cybersecurity ($97,322). The report also broke down salaries by region.

SEE: How to become a cybersecurity pro: A cheat sheet (free PDF) (TechRepublic)

North America

North American IT professionals earned $109,985 on average, which is 23% more than the worldwide average mentioned previously. These professionals also saw a 6% raise in salary in 2019 and 50% received bonuses, according to the report.

US IT professionals, in particular, earned higher average salaries than those in any other region at $113,639, which is largely due to geography. While salaries along the coasts were the highest, those locations are also where the cost of living is the most expensive, the report found.

In Canada, the average annual salary is $74,048, with the highest paying IT professionals living in Quebec and making around $77,897.

The highest paying job function areas in North America included executives ($148,034), cloud computing ($138,320), and IT architecture and design ($126,095), according to the report.

Latin America

In Latin America, IT professionals earned an average of $41,465. IT decision makers in this region make significantly more than their staff--a 44% difference. IT decision makers also saw the highest raise percentage out of all regions at 9%, while their IT staff only saw a 5% increase, the report found.

The functional areas with the highest salaries were executives ($68,253), cloud computing ($50,480), and project and program management ($48,478), according to the report.

Europe, the Middle East and Africa (EMEA)

The average salary for IT professionals in EMEA was $70,445, with IT staff seeing a 6% raise and IT decision makers seeing a 5% raise, which was in line with the worldwide average raise percentages, the report found.

Within Europe, Switzerland dominated the salaries with an average of $136,301. Norway had the second highest at $97,525, followed by Germany at $95,456, according to the report.

The highest paying function areas in EMEA were executives ($101,523), cloud computing ($99,290), and IT architecture and design ($83,606), the report found.


IT professionals in the Asia-Pacific area made on average $65,738 per year. Similar to Latin America, the ratio between the salaries of IT decision-makers and IT staff is significant, at 38% difference.

However, the raise percentages for IT decision makers and IT staff are the same, at 5%, the report found.

The highest paying function areas for the Asia-Pacific region were executives ($108,794), cloud computing ($84,764), and program and project management ($74,608), according to the report.

A commonality across all regions was that every area received some percentage of a raise. As previously stated, salaries were higher in this edition of the report than any other. This survey aimed to discover the reason behind the shift.

Respondents said that the top factors that increased salary included their current job performance (42%), a standard company increase (39%), a promotion within the company (15%), and a cost of living increase (15%).

A particularly interesting reason behind a pay raise was the development of new skills (9%), the report found. Those same individuals who said they developed new skills of added value reportedly earned nearly $12,000 more than last year, indicating reskilling and upskilling training sessions pay off, according to the report.

Learning and development is often overlookedor not prioritized in companies, which is harmful to both employees and companies. The majority of employees (94%) say they would stay longer at an organization if they were offered opportunities to learn and grow, LinkedIn's 2019 Workforce Learning report found.

Upskilling and reskilling employees is particularly crucial in the era of digital transformation; as technology is constantly changing and evolving, employees need to do the same.

Rather than firing and rehiring workers with every technological shift, companies should instead allocate resources toward intellectual growth and skills. And Growth Knowledge's report is evidence that the skills training does its job.

For more, check out Impressive professional development benefits from Amazon, Google, Microsoft, and more on TechRepublic.

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Global IT compensation is at an all-time high, thanks to skills trainings - TechRepublic

Middle East Cloud Applications Market Worth $4.5 Billion by 2024 – Exclusive Report by MarketsandMarkets – PR Newswire UK

CHICAGO, Jan. 17, 2020 /PRNewswire/ -- According to a new research report"Middle East Cloud Applications Marketby Application (ERP, CRM, HCM, SCM, and Business Intelligence and Analytics), Organization Size, Vertical (BFSI, Manufacturing, and Telecommunications), and Country - Forecast to 2024", published by MarketsandMarkets, the Middle East Cloud Applications Market is expected to grow from USD 2.0 billion in 2019 to USD 4.5 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 17.5% during the forecast period.

The growing demand for cloud-based services and advanced technologies, increasing need to engage with customers, and deliver an enriched experience continuously are some of the major factors driving the growth of the Middle East Cloud Applications Market.

Browsein-depth TOC on"Middle East Cloud Applications Market"

38 Tables

28 Figures

110 Pages

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Among applications, cloud-based CRM applications to grow at a higher rate during the forecast period

Cloud Customer Relationship Management (CRM) enables enterprises to store and utilize customer data at scale to offer better services and manage relationships with customers. Cloud-based CRM is gaining popularity among enterprises due to various benefits it offers, such as easy accessibility, affordability (especially for Small and Medium-sized Enterprises [SMEs]), rapid implementation, easy upgradation, scalability, and integration capability with other data sources. Cloud-based CRM applications centralize the customer database and provide a comprehensive view of all interactions with customers, offer instant access to real-time insights of sales opportunities, and automate task management processes. With ease of use and affordability, it increases customer retention rates making business more successful. Salesforce, Zoho, Oracle, Microsoft, and Oracle are some leading vendors offering cloud CRM.

The retail and consumer goods vertical is one of the fastest-growing verticals in the region

Factors driving the adoption of cloud applications are the rising purchasing power of customers and the need to satisfy customer expectations, which leads to existing customer retention and new customer acquisition. Online retailing and cloud technologies have significantly disrupted the retail and consumer goods vertical leading to the adoption of cloud computing mainly for storage, backup, and security services. Cloud computing services enable retailers to access customer data with just 1 click from any store located anywhere, thus leading to better customer service delivery. For instance, Hallmark Cards is a retail shop with a number of stores worldwide and is known for selling greeting cards and other products. This store is leveraging the private cloud to store its data and manage all operations, such as conducting real-time inventory tracking, enabling employees to focus on delivering enhanced customers experience, and business critical activities.

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Saudi Arabia to have the largest market size during the forecast period

Saudi Arabia is accelerating the adoption of Information Technology (IT) services in recent years. The country's regulatory body, Communications and Information Technology Commission (CITC) has regulated Cloud Computing in Saudi Arabia by publishing the Cloud Computing Regulatory Framework (CCRF) on its website. The CCRF aims to provide clarity and certainty on the rights and obligations of Cloud Service Providers (CSPs) and users of cloud services. This shows the interest of the government to accelerate the adoption of cloud-based services in this country. The key factors driving the adoption of the cloud technology in this country include reduced costs, improved infrastructure efficiency, and enhanced scalability.

Market Players:

Major vendors offering Middle East Cloud Applications Market across the globe includes SAP (Germany), Oracle (US), Microsoft (US), Infor (US), Salesforce (US), Sage Group (UK), IBM (US), Epicor (US), 3I Infotech (India), Ramco Systems (India), Prolitus Technologies (India), IFS (Sweden), and QAD (US).

Browse Adjacent Markets: Cloud Computing Market Research Reports & Consulting

About MarketsandMarkets

MarketsandMarkets provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets's flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact: Mr. Shelly Singh MarketsandMarkets INC. 630 Dundee Road Suite 430 Northbrook, IL 60062 USA: +1-888-600-6441 Email: sales@marketsandmarkets.comVisit Our Website: https://www.marketsandmarkets.comResearch Insights: Source:


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Middle East Cloud Applications Market Worth $4.5 Billion by 2024 - Exclusive Report by MarketsandMarkets - PR Newswire UK

Job of the Week: Head of Research Computing at the Norwich Biosciences Institute – insideHPC

The Norwich Biosciences Institute Partnership is seeking a new Head of Research Computing in our Job of the Week.

We have an exciting opportunity for a strategic High-Performance Computing (HPC) leader to take accountability for the future development of research computing across one of the UKs foremost research organisations. The Head of Research Computing will set the future technology strategy and service model for mission-critical research IT services at NBI.

The Norwich Biosciences Institutes (NBI) are a cluster of internationally renowned research organisations. The institutes work together to tackle the major challenges facing us all in the 21st Century the sustainability of our environment; our food supplies and healthy ageing. Across NBI, there are over 1,000 scientists working to find realistic and practical solutions to these challenges. We then provide the infrastructure and support to translate their discoveries into commercially-successful businesses.

This vital, and impactful, new role will have end-to-end ownership for the provision of our research computing shared-service. The Head of Research Computing will lead the development and delivery of research computing provision across NBI, including the strategic evolution of the technology roadmap, incorporating contemporary approaches such as flexible cloud computing based HPC provision.

The Role:

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Job of the Week: Head of Research Computing at the Norwich Biosciences Institute - insideHPC

Blockchain is the top skill for 2020, LinkedIn says – CoinGeek

Blockchain has emerged as the leading hard skill sought by employers for 2020. In its latest report, the professional networking company found that blockchain was sought by employers more than cloud computing, artificial intelligence and UX design.

The annual report on the most in-demand skills by LinkedIn gives a comprehensive look on what employers are on the lookout for from their employees. In 2019, cloud computing led the list of hard skills, with artificial intelligence and analytical reasoning following suit. Blockchain wasnt even in the top ten. However, in a complete change of fortunes, employers are now more interested in those possessing blockchain skills than any other skill.

LinkedIn pointed out that blockchains rise has been aided greatly by its breakout from its traditional financial industry connection and into other industries. Supply chain, gaming, pharmaceuticals, insurance and legal industries are all using the technology. This has opened up more opportunities and led to the skyrocketing of the demand in blockchain skills.

The demand for blockchain skills varies from one country to the next. However, in most leading economies such as the U.S., the U.K., Germany, France and Australia, its the most in-demand skill.

The report stated, The business world, however, is voting with its jobs, and companies seem to be saying that the potential is worth the gamble. Blockchain has become a line of business for a whos who of the corporate world IBM, Oracle, JPMorgan Chase, Microsoft (LinkedIns parent company), Amazon, and American Express, to name just a few. Blockchain is now being used in industries ranging from shipping to healthcare, from farming and food safety to entertainment and gaming.

As CoinGeek reported, while the demand for blockchain skills has continued to skyrocket, the supply has waned. This is despite blockchain jobs having higher pay, with those in the U.S. offering twice the national average. In its Emerging Jobs Report 2020, LinkedIn revealed that blockchain developers were no longer on their list of top 15 emerging jobs. An earlier report by Indeed also found that searches related to blockchain have been on a decline for the past two years. In 2019, these searches went down 53%. In stark contrast, Indeeds portal saw a steady increase in job postings for blockchain-related roles.

The Genesis protocol upgrade on February 4, 2020 is a monumental step in the history of Bitcoin, and will see BSV returned as close as possible to the original protocol as envisioned by Satoshi Nakamoto. Visit theGenesis Hard Fork pageto learn more.

To receive the latest news, special discounts on CoinGeek Conferences and other inside information direct to your inbox, pleasesign upfor our mailing list.

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Blockchain is the top skill for 2020, LinkedIn says - CoinGeek

MongoDB: Riding The Data Wave – Seeking Alpha

MongoDB (MDB) is a database software company which is benefiting from the growth in unstructured data and leading the growth in non-relational databases. Despite MongoDB's recent rise in share price, its current valuation is modest given its strong position in a large and attractive market.

There has been an explosion in the growth of data in recent years with this growth being dominated by unstructured data. Unstructured data is currently growing at a rate of 26.8% annually compared to structured data which is growing at rate of 19.6% annually.

Figure 1: Growth in Data

(source: m-files)

Unstructured data refers to any data which despite possibly having internal structure is not structured via pre-defined data models or schema. Unstructured data includes formats like audio, video and social media postings and is often stored in non-relational database like NoSQL. Structured data is suitable for storage in a traditional database (rows and columns) and is normally stored in relational databases.

Mature analytics tools exist for structured data, but analytics tools for mining unstructured data are nascent. Improved data analytics tools for unstructured data will help to increase the value of this data and encourage companies to ensure they are collecting and storing as much of it as possible. Unstructured data analytics tools are designed to analyze information that doesn't have a pre-defined model and include tools like natural language processing.

Table 1: Structured Data Versus Unstructured Data

(source: Adapted by author from igneous)

Unstructured data is typically stored in NoSQL databases which can take a variety of forms, including:

Unstructured data can also be stored in multimodel databases which incorporate multiple database structures in the one package.

Figure 2: Multimodel Database

(source: Created by author)

Some of the potential advantages of NoSQL databases include:

Common use-cases for NoSQL databases include web-scale, IoT, mobile applications, DevOps, social networking, shopping carts and recommendation engines.

Relational databases have historically dominated the database market, but they were not built to handle the volume, variety and velocity of data being generated today nor were they built to take advantage of the commodity storage and processing power available today. Common applications of relational databases include ERP, CRM and ecommerce. Relational databases are tabular, highly dependent on pre-defined data definitions and usually scale vertically (a single server has to host the entire database to ensure acceptable performance). As a result, relational databases can be expensive, difficult to scale and have a relatively small number of failure points. The solution to support rapidly growing applications is to scale horizontally, by adding servers instead of concentrating more capacity in a single server. Organizations are now turning to scale-out architectures using open software technologies, commodity servers and cloud computing instead of large monolithic servers and storage infrastructure.

Figure 3: Data Structure and Database Type

(source: Created by author)

According to IDC, the worldwide database software market, which it refers to as structured data management software, was $44.6 billion in 2016 and is expected to grow to $61.3 billion in 2020, representing an 8% compound annual growth rate. Despite the rapid growth in unstructured data and the increasing importance of non-relational databases, IDC forecasts that relational databases will still account for 80% of the total operational database market in 2022.

Database management systems (DBMS) cloud services were 23.3% of the DBMS market in 2018, excluding DBMS licenses hosted in the cloud. In 2017 cloud DBMS accounted for 68% of the DBMS market growth with Amazon Web Services (AMZN) and Microsoft (MSFT) accounting for 75% of the growth.

MongoDB provides document databases using open source software and is one of the leading providers of NoSQL databases to address the requirements of unstructured data. MongoDB's software was downloaded 30 million times between 2009 and 2017 with 10 million downloads in 2017 and is frequently used for mobile apps, content management, real-time analytics and applications involving the Internet of Things, but can be a good choice for any application where there is no clear schema definition.

Figure 4: MongoDB downloads

(source: MongoDB)

MongoDB has a number of offerings, including:

Figure 5: MongoDB Platform

(source: MongoDB)

Functionality of the software includes:

MongoDB's platform offers high performance, horizontal scalability, flexible data schema and reliability through advanced security features and fault-tolerance. These features are helping to attract users of relational databases with approximately 30% of MongoDB's new business in 2017 resulting from the migration of applications from relational databases.

MongoDB generates revenue through term licenses and hosted as-a-service solutions. Most contracts are 1 year in length invoiced upfront with revenue recognized ratably over the term of the contract although a growing number of customers are entering multiyear subscriptions. Revenue from hosted as-a-service solutions is primarily generated on a usage basis and is billed either in arrears or paid up front. Services revenue is comprised of consulting and training services which generally result in losses and are primarily used to drive customer retention and expansion.

MongoDB's open source business model has allowed the company to scale rapidly and they now have over 16,800 customers, including half of the Global Fortune 100 in 2017. Their open source business model uses the community version as a pipeline for potential future subscribers and relies on customers converting to a paid model once they require premium support and tools.

Figure 6: Prominent MongoDB Customers

(source: Created by author using data from MongoDB)

MongoDB's growth is driven largely by its ability to expand revenue from existing customers. This is shown by the expansion of Annual Recurring Revenue (ARR) overtime, where ARR is defined as the subscription revenue contractually expected from customers over the following 12 months assuming no increases or reductions in their subscriptions. ARR excludes MongoDB Atlas, professional services and other self-service products. The fiscal year 2013 cohort increased their initial ARR from $5.3 million to $22.1 million in fiscal year 2017, representing a multiple of 4.1x.

Figure 7: MongoDB Cohort ARR

(source: MongoDB)

Although MongoDB continues to incur significant operating losses the contribution margin of new customers quickly becomes positive, indicating that as MongoDB's growth rate slows the company will become profitable. Contribution margin is defined as the ARR of subscription commitments from the customer cohort at the end of a period less the associated cost of subscription revenue and estimated allocated sales and marketing expense.

Figure 8: MongoDB 2015 Cohort Contribution Margin

(source: MongoDB)

MongoDB continues to achieve rapid revenue growth driven by an increasing number of customers and increased revenue per customer. Revenue growth has shown little sign of decline which is not surprising given the size of MongoDB's market opportunity. Revenue per customer is modest and MongoDB still has significant potential to expand the number of Global Fortune 100 customers.

Figure 9: MongoDB Revenue

(source: Created by author using data from MongoDB)

Figure 10: MongoDB Customer Numbers

(source: Created by author using data from MongoDB)

MongoDB's revenue growth has been higher than other listed database vendors since 2017 as a result of their expanding customer base and growing revenue per customer. The rise of cloud computing and non-relational databases has a large impact on relational database vendors with DBMS growth now dominated by cloud computing vendors and non-relational database vendors.

Figure 11: Database Vendor Revenue

(source: Created by author using data from company reports)

MongoDB's revenue growth is relatively high for its size when compared to other database vendors, but is likely to begin to decline in coming years.

Figure 12: Database Vendor Revenue Growth

(source: Created by author using data from company reports)

MongoDB's revenue is dominated by subscription revenue and this percentage has been increasing over time. This relatively stable source of income holds MongoDB in good stead for the future, particularly if customers can be converted to longer-term contracts.

Figure 13: MongoDB Subscription Revenue

(source: Created by author using data from MongoDB)

MongoDB generates reasonable gross profit margins for an enterprise software company from its subscription services, although these have begun to decline in recent periods. Likely as the result of the introduction of the entry level Atlas offering in 2016 and possibly also as a result of increasing competition.

Figure 14: MongoDB Gross Profit Margin

(source: Created by author using data from MongoDB)

MongoDB has exhibited a large amount of operating leverage in the past and is now approaching positive operating profitability. This is largely the result of declining sales and marketing and research and development costs relative to revenue. This trend is likely to continue as MongoDB expands, particularly as growth begins to decline and the burden of attracting new customers eases.

Figure 15: MongoDB Operating Profit Margin

(source: Created by author using data from MongoDB)

Figure 16: MongoDB Operating Expenses

(source: Created by author using data from MongoDB)

Although MongoDB's operating profitability is still negative it is in line with other database vendors and should become positive within the next few years. This is supported by the positive contribution margin of MongoDB's customers after their first year.

Figure 17: Database Vendor Operating Profit Margins

(source: Created by author using data from company reports)

MongoDB is yet to achieve consistently positive free cash flows, although appears to be on track as the business scales. This should be expected based on the high margin nature of the business and the low capital requirements. Current negative free cash flow is largely a result of expenditures in support of future growth in the form of sales and marketing and research and development.

Figure 18: MongoDB Free Cash Flow

(source: Created by author using data from MongoDB)

Competitors in the database vendor market can be broken into incumbents, cloud platforms and challengers. Incumbents are the current dominant players in the market, like Oracle (ORCL), who offer relational databases. Cloud platforms are cloud computing vendors like Amazon and Microsoft that also offer database software and services. Challengers are pure play database vendors who offer a range of non-relational database software and services.

Table 2: Database Vendors

(source: Created by author)


Incumbents offer proven technology with large set of features which may be important for mission critical transactional applications. This gives incumbents a strong position, particularly as relational databases are expected to continue to retain the lion's share of the database market in coming years. Incumbent players that lack a strong infrastructure-as-a-service platform though are poorly positioned to capture new applications and likely to be losers in the long run. This trend is evidenced by Teradata's (TDC) struggles since the advent of cloud computing and non-relational databases.

Cloud Platforms

Cloud service providers are able to offer a suite of SaaS solutions in addition to cloud computing, creating a compelling value proposition for customers. In exchange for reducing the number of vendors required and gaining access to applications designed to run together, database customers run the risk of being locked into a cloud vendor and paying significantly more for services which could potentially be inferior.


Dedicated database vendors can offer best in breed technology, low costs and multi-cloud portability which helps to prevent cloud vendor lock-in.

The DBMS is typically broken into operational and analytical markets. The operational DBMS market refers to databases that are tied to a live application whereas the analytical market refers to the processing and analyzing of data imported from various sources.

Figure 19: Database Market Competitive Landscape

(source: Created by author)

Gartner assesses MongoDB as a challenger in the operational database systems market due primarily to a lack of completeness of vision. The leaders are generally large companies which offer a broader range of database types in addition to cloud computing services. MongoDB's ability to succeed against these companies will be dependent on them being able to offer best in class services and/or lower cost services.

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MongoDB: Riding The Data Wave - Seeking Alpha

Computing at the edge –

Edge computing has grown over the past several years to become one of the most important current trends in IT. It is increasingly viewed as a part of digital transformation, and linked with other trends such as the internet of things (IoT), analytics and cloud computing. But, as with those trends, there is no precise definition and often much hype about what edge computing is.

A simple definition of edge computing is that it involves some processing and decision-making taking place at the edge of the network, rather than everything being centralised in the datacentre or the cloud. This goes against the widely held notion that all IT functions will eventually be cloud-hosted, and some have even suggested that edge computing will replace the cloud.

Instead, both cloud and edge computing will co-exist, since they address different requirements. According to analyst firm IDC, the two approaches are complementary and interact in a smart and intelligent way. In a report called The technology impacts of edge computing in Europe, the firm forecast that in 2020, more than 50% of cloud deployments by European organisations will include edge computing and that 20% of endpoint devices and systems will execute artificial intelligence (AI) algorithms.

One of the factors driving edge computing is the IoT, which is bringing a whole host of new connected devices to networks. These devices need to be managed, but more importantly many of them are designed to generate streams of data to be analysed for operational reasons or for insights that could lead to more efficient ways of working.

Some use cases of edge computing include industrial automation, autonomous vehicles, smart homes, automated systems aboard oil and gas rigs, and 5G network infrastructure.

The latter is a good example, not only because 5G is expected to play a key role in many IoT deployments thanks to its ability to support a much greater number of connected devices per cell base station, but because the sheer processing power required for operating 5G networks means that cell base stations are becoming more like miniature datacentres.

While centralising all processing in the cloud might seem like the more efficient thing to do, that idea runs into problems when it comes to latency the delay in transmitting data across the network and in getting a response back.

This means data often needs to be processed and acted on at the point where it is being generated. In a smart factory, for example, sensors monitoring machinery might detect a serious fault condition that requires an instant remedial response.

The volumes of data generated by some applications are also growing rapidly. For example, some test autonomous vehicles have been found to generate as much as 8-10TB (terabytes) of data per day. In many cases, transmitting everything to the cloud may not be a viable option, according to Seagates executive vice-president and head of operations, Jeff Nygaard.

Its not free to move data through a pipe from endpoint to edge to cloud; it costs money to send data through that pipeline. The idea that you should really only be moving data if you need to move the data based on how youve architected, and how you get value out of the data is something you should be thinking about, said Nygaard, speaking in a panel discussion on edge computing.

For reasons such as these, it makes sense in many situations to analyse data as it is generated at the edge, and this has led to a requirement for more powerful hardware capable of running analytics on all that data. This means edge systems have expanded from relatively simple edge gateway devices managing a bunch of sensors, to include full-blown servers and even micro-datacentres.

This fits with analyst firm Ovums view, outlined in its report Defining the market for edge and edge cloud. Ovum sees a near edge based on traditional servers, storage or hyper-converged infrastructure (HCI) devices, with an outer edge made up of gateway devices, the latter either fully managed or immutable so that they are simply replaced if and when upgrades are required.

Micro-datacentres are enclosures containing one or more datacentre racks, which can be filled up with servers, storage and network kit, plus power and cooling systems. In other words, they can house the kind of IT equipment that would normally be found in a rack in a normal datacentre, but can be installed in a factory or on an oil rig, or anywhere where a decent amount of compute power is required.

These are available from suppliers such as Schneider Electric and Rittal, but also from major IT suppliers such as HPE and Dell EMC, which are naturally keen to sell such enclosures ready configured with their own servers, storage and networking.

But it is also important to recognise that whether data is processed at the edge or in the cloud will depend on the application, and the two are not mutually exclusive. Edge computing allows for data to be filtered and processed before being sent to the cloud, for example, while the cloud may also serve as a central site for collating data for further analysis from multiple edge sites.

In addition to analytics, edge systems are increasingly going to be called on to carry out demanding tasks such as visual recognition, inspecting items on a factory production line for defects, for example. These tasks often rely on AI techniques such as machine learning or deep learning models to deliver results speedily, and this means hardware accelerators such as graphics processing units (GPUs) or field programmable gate arrays (FPGAs) may be required.

In fact, GPU maker Nvidia unveiled an edge platform last year that combines its GPU products with a software stack incorporating Kubernetes, a container runtime and containerised AI frameworks, designed to run on standard server hardware.

The EGX platform is described by Nvidia as bringing the power of accelerated AI computing to the edge with an easy-to-deploy cloud-native software stack. EGX partners include HPE, Dell EMC, Fujitsu, Cisco and Supermicro.

New applications and services are also driving the development of edge computing. Demand for high-bandwidth streamed video, for example, is leading service providers to cache content locally at datacentres located closer to customers.

Amazon Web Services (AWS) announced in December 2019 that it is planning to build a series of hyper-local datacentre hubs close to major cities for exactly this reason. These hubs, dubbed Local Zones by AWS, are intended to attract businesses with latency-sensitive workloads and will be housed in small-scale datacentres rather than the companys large regional facilities.

Of course, there are potential issues with edge computing. Having numerous sites collecting and analysing data means more sites that need to be configured and monitored, all of which adds complexity. And the distributed nature of edge computing means that technicians are not always likely to be available onsite if and when a failure occurs.

Edge computing also has implications for networks. As more computing happens at the edge, network bandwidth will have to adapt to this shift in emphasis. According to IDC, edge computing directly increases the importance of networks, especially delocalised networks. Edge computing will also require innovation in how networks are analysed, managed and orchestrated.

Security is an obvious issue for all IT infrastructure, but with edge systems potentially running unattended in remote sites, physical security of the hardware is as much a concern as the potential for a cyber attack. It also means that access control and protection of data both at rest and in transit become even more important.

Management issues may include the need to deliver secure application updates to the edge hardware, plus the ability to remotely diagnose and fix any issues that may develop.

According to Ovum, operational management is more likely to be an extension of the existing operational management market, rather than specific products for edge computing. Likewise, it expects orchestration at the edge to effectively form part of an expansion of the multicloud management market, which, according to Ovums forecasts will be worth $11bn by 2022.

Key takeaways on edge computing are that it is not going to replace cloud, but in some instances can be thought of as bringing cloud computing closer to where data is being generated. It is intended to support new and emerging workloads that may be latency sensitive, require a lot of compute power, or involve such large data volumes that sending everything back to the cloud is impractical. All of this brings new challenges, but also potential rewards for organisations that can get it right.

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Computing at the edge -

Cloud ‘land grab’ to descend on SA this year – ITWeb

Cloud computing will accelerate the continents digital transformation.

Rivals Microsoft, Oracle and Huawei are readying for cloud battles in 2020.

ITWeb interviewed the companies about their plans to drive cloud computing solutions in SA this year.

Last year saw US-based software giant Microsoft open two data centre regions in SA, becoming the first global provider to deliver cloud services from data centres on the African continent.

In March last year, Chinese telecommunications giant Huawei also started offering its cloud services in SA. The company is leasing a data centre in Johannesburg from a partner from where it is deploying localised public cloud services based on local industry policies, customer requirements and partner conditions.

US-based enterprise software company Oracle in September last year also announced plans to launch data centres in SA.

Similarly, fellow US-based company Amazon Web Services is expected to open data centres in SA this year.

Johannes Kanis, cloud and enterprise business group lead at Microsoft SA, says over the last 10months, the extent of the appetite for cloud in SA has meant the company has one of the fastest-growing Microsoft data centre regions globally.

He points out that significant organisations, like Nedbank, Standard Bank and Altron, have already migrated components of their IT infrastructure into the cloud.

In October 2019, the State IT Agency and Microsoft SA announced details of a memorandum of understanding that paves the way for government adoption of public cloud services, which drives government's ability to accelerate its digital transformation journey, Kanis notes.

We anticipate that the need for and interest in cloud-based services will drive more innovation from customers and partners, and will continue to spur the continents digital transformation.

According to Kanis, Gartner research from last year indicates SA is expected to be the fourth fastest-growing major IT market in the world, and this strong performance is largely driven by companies embracing cloud.

On competition in the local cloud market, Kanis comments: We compete with hyperscaler providers all over the world and are proud to be the first global provider to launch two cloud data centres on the continent. Our goal was to bring the technology closer to African businesses and organisations, offer enterprise-grade reliability and performance combined with data residency in South Africa.

For Niral Patel, MD of Oracle SA, the opportunities cloud creates are real and present today, providing the building blocks for companies to pioneer ground-breaking innovations and disrupt entire industries.

Were seeing financial services use AI [artificial intelligence] for automatic forecasting without human intervention, to smart manufacturing utilising real-time IOT [Internet of things] data for equipment optimisations.

The opportunities are endless, not only for our business, but for our partners and customers. The pending data centre that will reach our shores this year will enable our customers to address cost-efficiencies, providing the ability to innovate quickly, creating large-scale agility while benefiting from the utmost levels of security.

Niral Patel, MD of Oracle SA.

Unlike other cloud providers, Oracle is committed to offer a second region for disaster recovery in every country where we launch Oracle Cloud Infrastructure services, a strategy thats aligned with our customers needs. With these dual regions, customers can deploy both production and disaster recovery capacity within the country, to meet business continuity and compliance requirements, says Patel.

He adds that while competitors were building their data centres, Oracle was building its cloud applications from the ground up.

We partner with customers to tackle their most complex business problems, run their operations, and achieve the best possible outcomes. Customers are fast embracing and upgrading to Autonomous Database, a self-driving software that uses machine learning to enable unprecedented availability, high performance and security at a much lower cost. By using machine learning, the self-driving self-healing self-learning database is being used by customers in the cloud to see new ways of getting more value from more secure data more quickly.

Rui Houwei, president of Huawei Cloud Africa, notes that over the past 10months, Huawei Cloud has experienced rapid growth in the African market, notably in SA, and already has more than 300 customers.

Likewise, he says, government agencies, telecom carriers and enterprises from a wide range of industries have made use of Huawei Cloud services to enjoy previously unforeseen levels of success in the market.

Last year, Huawei also launched its Partner Programme 2.0, an initiative that offers crucial support for partners, with regard to online and onsite training, market expansion, marketing activities and technical understanding.

Rui Houwei, president of Huawei Cloud Africa.

In SA alone, Huawei Cloud has established partnerships with over 50 partners, spanning diverse industries, including telecoms, finance, manufacturing, education, retail and logistics, as well as the public sector. Such wide-ranging collaboration is likely to result in unique and broadly-shared benefits across the ecosystem, says Houwei.

Jon Tullett, senior research manager for cloud/IT services at IDC, believes there will be a cloud land grab just as with fibre providers in SA.

However, he notes adoption of cloud computing may be slower than expected, as moving workloads to the cloud can take a long time.

The other challenge SA will face regarding cloud adoption this year will be the skills shortage, says Tullett. Cloud computing skills are in short supply and they are very expensive.

Nonetheless, he notes there is increased interest and confidence in the cloud among South African organisations, including government.

As an example, he said the South African Reserve Bank issued a directive in 2018 and guidance notes on cloud computing and the offshoring of data by banks. The directive is applicable to all banks, controlling companies, branches of foreign institutions and auditors of banks or controlling companies. The directive was effective from 1 October 2018.

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Cloud 'land grab' to descend on SA this year - ITWeb

Supermicro Expands Oracle Relationship with Best in Class Server Solutions – HPCwire

SAN JOSE, Calif., Jan. 17, 2020 Super Micro Computer, Inc. (SMCI), a Gold-level member of Oracle PartnerNetwork (OPN), has expanded its relationship by testing and certifying an extensive range of servers with Oracle Linux and Oracle VM Server for x86 (Oracle VM), addressing customer requirements for cloud and virtualization and enterprise database applications. Supermicro has immediate availability of multiple servers, including 1U/2U Ultra, BigTwin, 2U TwinPro, FatTwin, and 4-way and 8-way MP servers. They are available in various configurations, including 1U, 2U blades, and are qualified to run Oracle Linux 7.6, Oracle Linux 7.7, and Oracle VM 3.4.

The work we performed with the Oracle software stack helps ensure that Oracle and Supermicro customers can extract the best performance and best TCO value from our pre-tested and validated servers across all their Oracle workloads, says Raju Penumatcha, senior vice president and chief product officer, Supermicro. We look forward to furthering collaboration with Oracle, as we expect to roll out additional, leading-edge servers and solutions designed and optimized for Oracle in the coming months.

These certified systems take advantage of Supermicros superior system designs and high-performance 2nd Generation Intel Xeon Scalable processors. Also, by leveraging Intel Optane DC persistent memory users can support larger datasets and higher availability with database restarts. The systems enable users to derive outstanding performance and value from their Oracle database and applications with up to 28 cores and 2933MHz memory speed. New and existing customers are taking full advantage of Supermicros enterprise-class servers, leveraging their resource-saving architecture to power their mission-critical Oracle software-based solutions for the most demanding cloud and hybrid Oracle workloads.

Supermicros launch of certified solutions with Oracle Linux and Oracle VM across their server lines highlights the value and demand that mutual customers are experiencing from the combined solutions, said Robert Shimp, product management group vice president, Oracle Linux and Virtualization at Oracle. Oracle and Supermicros collaboration focuses on helping customers to achieve great performance for their data center, cloud, and enterprise deployments.

Certification testing on Supermicro hardware was completed using Oracle Linux with the Unbreakable Enterprise Kernel and Oracle VM. All certified servers have completed rigorous testing guidelines as part of Oracles Hardware Compatibility List (HCL) program for Oracle Linux and Oracle VM.

For more information on Supermicros Solutions Portfolio that have achieved Oracle HCL certification, visit:

About Oracle PartnerNetwork

Oracle PartnerNetwork (OPN) is Oracles partner program that provides partners with a differentiated advantage to develop, sell and implement Oracle solutions. OPN offers resources to train and support specialized knowledge of Oracles products and solutions and has evolved to recognize Oracles growing product portfolio, partner base, and business opportunity. Key to the latest enhancements to OPN is the ability for partners to be recognized and rewarded for their investment in Oracle Cloud. Partners engaging with Oracle will be able to differentiate their Oracle Cloud expertise and success with customers through the OPN Cloud program an innovative program that complements existing OPN program levels with tiers of recognition and progressive benefits for partners working with Oracle Cloud. To find out more visit:

About Super Micro Computer, Inc.

Supermicro (SMCI), the leading innovator in high-performance, high-efficiency server technology is a premier provider of advanced server Building Block Solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermicro is committed to protecting the environment through its We Keep IT Green initiative and provides customers with the most energy-efficient, environmentally-friendly solutions available on the market.

Source: Super Micro Computer, Inc.

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Supermicro Expands Oracle Relationship with Best in Class Server Solutions - HPCwire