Daily Archives: January 18, 2020

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

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.

Challengers

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.

More:

MongoDB: Riding The Data Wave - Seeking Alpha

Microsoft Azure Windows Virtual Desktop Will Be a Primary Focus

XenTegra,an expert provider of integrated digital workspaces and managed services andCloudJumper, experts in cloud computing, and virtualization, are partnering to simplify and innovate cloud solutions. XenTegra is a leader in Microsoft Windows Virtual Desktop deployments and service offerings, and CloudJumper simplifies Microsoft Windows Virtual Desktop (WVD), easing deployments and allowing partners to create unique service offerings and solution stacks. Together, XenTegra and CloudJumper will enable customers to get to Microsoft WVD faster!

XenTegra is excited about this partnership. Microsoft WVD is gaining much traction, but is very complex to set up, configure, and manage, saidPete Downing, CMTO at XenTegra. With CloudJumper, we can help customers get to WVD faster, gaining quicker time-to-value which leads to wider deployments and better cloud administrator experiences. XenTegra offers a managed service around Microsoft, Citrix, and private cloud and CloudJumper is an integral piece.

Read More: Future CEO: Top 6 Skills That You Need In 2020

We are extremely excited to be partnering with XenTegra to simplify deploying and managing Windows Virtual Desktop for customers, said JD Helms, president, CloudJumper. End User Computing and delighting customers is in their DNA and has made XenTegra one of the top partners in the Digital Workspace industry. WVD is changing the game for desktop virtualization; the CloudJumper/XenTegra partnership will help customers realize the benefits of this new platform faster and more cost-effectively.

WVD is a sophisticated collection of Azure services. CloudJumper simply funnels the hundreds of WVD setup options into a few key questions and then orchestrates and deploys a customized environment. With CloudJumper, the customer is just minutes away from deploying thousands of new WVD VMs something that is not available in a native Azure user interface (UI).

Read More: Use Of Technology At Assisted Living Community Is A Game Changer For Residents

TheCloudJumper Cloud Workspace Management Suite (CWMS)is a simple software platform for managing all technology layers of an RDS/WaaS/VDI deployment. The solution is designed to quickly provision and manage cloud workspace solutions using existing infrastructure, hypervisors and other technology investments. CWMS aggregates all the layers of the cloud workspace stack, whether Azure, Google, AWS or private cloud, and delivers a centralized location to oversee, manage and control every aspect of the entire cloud workspace deployment.

Read More: Edge Computing+ AI Confluence: Get Ready to Edgify Your IT and Automation Operations

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XenTegra and CloudJumper Partnering to Innovate With Cloud - AiThority

Blockchain has topped the list of skills bosses are looking for in employees around the world this year, according to professional social media platform LinkedIn.

The record-keeping technology first emerged in 2009 with the birth of cryptocurrency but has since moved on from supporting the use of the likes of Bitcoin.

The ability to store, validate, authorize, and move data across the internet with blockchain means it is now being used to securely store and send any digital asset. The technology also stores a permanent and non-editable record of data entry.

Blockchain was the top priority for employers hiring in the U.S., U.K., France, Germany and Australia, LinkedIn found. Yet it was both first time blockchain made it onto LinkedIn's rankings of in-demand skills and came in first place.

Namrata Murlidhar, marketing director at LinkedIn, said blockchain had emerged from the "once shadowy world" of cryptocurrency to become a "transformative business solution."

Industries outside the financial services sector were increasingly seeking talent with experience in blockchain, she added, including retail, shipping, healthcare, farming and gaming.

LinkedIn measured demand by looking at the profiles of its users, to determine the frequency that people with different skillsets were getting hired.

Cloud computing came in second place, which is the technology allowing data to be stored and managed on the internet. People working in this area would be developing the architecture, design and delivery of cloud systems.

In third place was analytical reasoning - the ability to make sense of data and uncover insights that can help business decisions.

Artificial intelligence (AI), which is the technology developing machine-learning, was the fourth most in-demand area of "hard" skills for employers.

Rounding out the top five was UX design, the focus on users' experience of products, particularly technology.

LinkedIn also ranked "soft" skills the interpersonal qualities employers want most in their staff. The list looked very similar to the 2019 rankings, with creativity holding onto the top spot.

However, emotional intelligence also made an appearance in this year's top five. This is the ability to perceive, evaluate and respond to both your own emotions and those of others.

LinkedIn said this emphasized the "importance of how we respond to and interact with colleagues."

Read more from the original source:

These are the most in-demand job skills in 2020, according to LinkedIn - CNBC

The Week Ending Jan. 17

Topping this week's roundup of those having a rough week is Microsoft, which continues to face opposition to the award of the massive Pentagon JEDI cloud computing contract.

Also making the list are the Albany Airport for a ransomware attack (and payment of a five-figure ransom), Zscaler for having to pony up millions to settle a patent lawsuit, and employees at both CyrusOne and Mozilla for facing layoffs.

Not everyone in the IT industry was having a rough go of it this week. For a rundown of companies that made smart decisions, executed savvy strategic moves or just had good luck check out this week's Five Companies That Came To Win roundup.

Microsoft Facing Increased Legal Opposition From AWS In JEDI Award

Microsoft might have to wait a bit before it can get started on that $10 billion JEDI cloud computing contract for the Pentagon.

Amazon Web Services this week said it will seek a court ruling to prevent any substantive work orders from being issued under the JEDI contract while AWS appeals the U.S. Department of Defenses decision in October to award the contract to rival Microsoft.

AWS intends to file a motion with the U.S. Court of Federal Claims seeking a temporary restraining order and/or a preliminary injunction on Jan. 24 to prevent the issuance of substantive task orders under the contract while pursuing its appeal. The Pentagon had earlier signaled its intention to begin issuing the orders on Feb. 11.

AWS has argued that the contract was awarded under a flawed selection process tainted by alleged politically motivated interference from the White House and President Donald Trump.

Albany Airport Hit With Malware Attack, Pays Five-Figure Ransom

The Albany Airport and Schenectady-based MSP LogicalNet were dealing this week with the aftermath of a ransomware attack during the holidays that resulted in the airport paying a five-figure ransom to regain access to its data.

A server in LogicalNets management services network was compromised early Christmas morning with the Sodinokibi Ransomware. From there the virus spread to the MSPs clients, including the Albany County Airport Authoritys servers and backup servers.

The ransomware encrypted administrative files such as budget spreadsheets, but the attack did not affect operations at Albany International Airport which the authority oversees or at any airlines or the Transportation Security Administration (TSA).

The airport authority paid a ransom of under six figures in Bitcoin on Dec. 30 to unlock its data. While other LogicalNet clients were reported to have been hit by the ransomware and locked out of their systems, most were able to recover using backup systems. (While the airport authority had a backup system, it reportedly shared a drive with the main system, making both vulnerable to the attack. The age and configuration of the IT equipment was also a factor.)

The authority is seeking to recover from LogicalNet the $25,000 deductible it had to pay on its insurance policy.

Zscaler To Pay $15 Million To Settle Symantec Patent Lawsuits

Web and network security tech developer Zscaler has agreed to cough up $15 million to settle patent infringement lawsuits brought against the company by Symantec, charging Zscaler with violating a number of Symantec patents.

Symantec filed a lawsuit in December 2016, shortly after it acquired Blue Coat Systems, charging Zscaler with infringing seven Symantec patents in areas such as web security, data loss prevention, threat prevention, access control and antivirus. A second lawsuit in 2017 alleged an additional seven patent infringements in web security, security scanning, data loss prevention, intrusion prevention and intrusion signature analysis.

Late last year Broadcom bought the Symantec Enterprise Security business. This week, to settle the litigation, Broadcom agreed to provide Zscaler with a patent license, release and covenant not to sue in exchange for the $15 million payment.

The settlement is equal to just under 5 percent of Zscalers $303 million annual sales in its most recent fiscal year. Zscaler chairman and CEO Jay Chaudhry said that while the company was confident of its position in the case, the settlement was in the best long-term interest of the company and its stockholders.

CyrusOne Lays Off 12% Of Workforce As Data Center Demands Softens

It was a tough week for data center service provider CyrusOne and dozens of its now-former employees who were laid off as the company faces a slowdown in demand from its largest hyperscale customers.

This week Dallas-based CyrusOne said it was cutting its workforce by 12 percent 55 employees as demand for data center services from hyperscale vendors such as Amazon, Apple, Google, Facebook and Microsoft appears to have softened. Those companies are collectively spending billions every quarter to build and equip new data centers around the world.

CyrusOne said the layoffs would result in annual savings of $10 million. The companys stock dropped 6 percent Tuesday following news of the cutbacks.

New Product Delays, Reduced Revenue Forecasts Lead To Layoffs At Mozilla

It was also a rough week for employees at Mozilla, which laid off about 70 employees on Wednesday when a slower-than-expected rollout of new products expected to generate more revenue in 2019 and 2020 just hasnt happened.

Mozilla, developer of the popular web browser, generates most of its revenue through search partnerships. The company has been working on a number of new subscription products, including the Firefox Private Network and a device-level VPN service, according to a TechCrunch story.

Mozilla chairwoman and interim CEO Mitchell Baker, in a memo obtained by TechCrunch, said the slow rollout of those products, combined with less-than-expected revenue from non-search products, led to the layoffs.

You may recall that we expected to be earning revenue in 2019 and 2020 from new subscription products as well as higher revenue from sources outside of search. This did not happen, Baker said in the memo. Our 2019 plan underestimated how long it would take to build and ship new, revenue-generating products. Given that, and all we learned in 2019 about the pace of innovation, we decided to take a more conservative approach to projecting our revenue for 2020. We also agreed to a principle of living within our means, of not spending more than we earn for the foreseeable future.

The number of layoffs could increase slightly as Mozilla is still working to determine how many layoffs to make in the U.K. and France in compliance with employment laws in those countries.

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5 Companies That Had A Rough Week - CRN: Technology news for channel partners and solution providers

High-Performance Computing Software markethas been thoroughly scrutinized and then carefully demarcated by geographic locations which are based on major economic regions and their topographical regions. Growing competition and the changing market dynamics has been highlighted. Aggressive market players are profiled with attributes of company overview, financial overview, business strategies, product portfolio and recent developments. The Market share and Market size prominent players for 2019 to 2024 are profiled in this report.

The High-Performance Computing Software market is highly competitive and consists of a number of major players. Top Companies likeAmazon Web Services Inc., ANSYS, Inc., Dassault Systemes, Dell EMC, Google Inc., Hewlett Packard Enterprise Development LP, IBM Corporation, Intel Corporation, Microsoft Corporation, and Oracle Corporation among others.

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https://www.marketinsightsreports.com/reports/08071389533/high-performance-computing-software-market-growth-trends-and-forecast-2019-2024/inquiry?Mode=Neha

High-performance computing (HPC) software includes various software suits based upon their applications such as operating system, software for coding and development, system management, and virtualization. Some other All these software can be deployed in the on-premise environment as well as on a hosted cloud platform.

Cloud Based High-Performance Computing Software is Driving the Growth

Enterprises across regions are deciding to rent HPC applications via the cloud to solve complex mathematical modeling problems, as they see benefits beyond costs. As a result, the cloud high-performance computing (HPC) has seen an uptick in the past few years. Cloud HPC providers are gaining significant returns, by maintaining competitive costs, rapid innovation, and portfolio expansions. For instance, Microsoft acquired Cycle Computing, a US-based company that provides software for orchestrating computing and storage resources in cloud environments, to upgrade its FPGA-accelerated Azure cloud. Microsofts long-term strategy appears to move toward an FPGA approach. According to the report of Eurostat (European Commission), European enterprises have shown a growth of 8%-10% for cloud adoption over the period 2014 2018. Major European countries who were spotted up in the list are Finland, Sweden, Denmark, Netherlands, and the UK.

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Asia-Pacific is the Fastest Growing Region

The regions strong manufacturing industry and investments in technologies driving HPC, such as IoT and AI, are likely to make it a lucrative market for cloud HPC vendors. Vendors have made significant investments to cater to Asia-Pacifics robust manufacturing sector, which increasingly relies on simulation and cloud computing to lower production costs, and improve operational effectiveness, in order to maintain their competitiveness in the global market. Specifically, China, Japan, South Korea, India, and Australia are creating huge potential for HPC software in the coming years. The Chinese government has declared to invest USD 47 billion in its semiconductor industry to cut out non-indigenous devices in the process of manufacturing and design, which will eventually create potential space for high-performance computing technology in the country for the forecast period. In 2018, Japan has upgraded one of its meteorology center with high-performance computing technology with an investment of USD 36 million and has a plan to invest more USD 54 million over the next five years.

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Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

Key Market Features:The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

Analytical Tools:High-Performance Computing Software Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porters five forces analysis, feasibility study, and investment return analysis have been used to analyzed the growth of the key players operating in the market.

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High-Performance Computing Software Market Competitive Insights and Precise Outlook 2019-2024 Dagoretti News - Dagoretti News