Since its founding in 2011, Hortonworks Inc. has fought battles on two fronts: Persuade corporations to adopt an entirely new, open-source data platform called Hadoop for a novel type of analytic processing and build a business selling software that customers can get elsewhere for free. By most accounts, @Hortonworks is making good progress. The company recorded its first-ever positive cash flow in its most recent earnings report, with revenues up 44 percent from a year ago, to $75 million. Competitors @MapR Technologies Inc. and @Cloudera Inc. have been gradually edging away in recent years from their roots in #Hadoop, which was named after the beloved toy elephant of one of the creators’ children. But Hortonworks remains steadfastly committed to the big-data platform as the core of its business. Chief Executive @Rob Bearden (pictured) recently discussed that strategy in an interview with SiliconANGLE. Your early competitors in the Hadoop market have largely deemphasized Hadoop as a focus, while Hortonworks hasn’t. Why? Customers spend more than $100 million a year with us, and the vast majority of that is Hadoop subscriptions. We’re managing the entire lifecycle of the data from the point of origination to data at rest, and we do the at-rest part with Apache Hadoop. We’re in the platform business with three principal platforms: Hortonworks DataFlow brings data off the edge and processes it at any point as an event, condition or action. You can to take a proscriptive and surgical approach to that data. When we bring data to rest, we manage and process it with Hadoop. Our third platform is DataPlane. It allows us to deploy those workloads wherever it’s best from an economics or physics standpoint. Many analysts are saying the future of big data is in the cloud. Do you agree? The math says they’re wrong. If you look at the revenue stream coming in to our company, two-thirds is on-prem. How have customer attitudes evolved since you started the company? It’s now assumed that they’re going to have Hadoop in an architecture for managing significant volumes of new-paradigm data. The math says data volumes are doubling every 14 to 16 months in the enterprise, and 80 percent of that is coming from new data sources. There’s nowhere else to go except Hadoop. [Enterprise resource planning] was intended to be a central hub for the entire order-to-cash lifecycle with one common view for the customer, but now that’s highly fractured with multiple ERPs and best-of-breed apps. Customers have gone further away from having a common central view. They can’t increase their velocity with having an aggregate view of the data. Hadoop is the most economical platform to do that. Looking back, which trends in big data took off faster than you expected and which didn’t? What surprised me is the acceleration of horizontal uses of Hadoop. Enterprise have learned the value of bringing all this data together on Hadoop for predictive insights that allowed them to engage earlier with customers and the supply chain. In the old world, everything was post-event. With Hadoop, they can bring all the data together about progress up to and through the event. What was surprising was how fast customers wanted to go all the way to the edge and grab that data from the point of origin. They want to engage with data as far upstream as they can. We bet on that when we bought Onyara’s data stream platform.
Saturday, March 24, 2018
Tuesday, March 20, 2018
Hortonworks, Confluent and Waterline attempt to make Big Data easier
Three vendors, with announcements over the last two weeks, are providing evidence of some soul searching in the analytics industry around the complexity of its technologies. @Hortonworks, a spinoff of the original #Hadoop development team at Yahoo, is offering managed services for its own Hadoop distribution. @Confluent, the company behind the very popular @Apache Kafka streaming data platform, put its SQL query layer into general availability. And @Waterline Data, an important player in the data governance space, added new #GDPR and data optimization features to its core data catalog functionality. Horton hears a help cry Hortonworks' offering may be the most radical, in its own way. In addition to preexisting support subscriptions for its Hortonworks Data Platform (HDP) and Hortonworks DataFlow (HDF) products, the company is now offering a new subscription level for both technologies called Hortonworks Operational Services. According to the company's press release, the subscription, announced today, offers "a fully managed environment for customers...and ongoing access to Hortonworks engineers and support teams." In that same release, Hortonworks CTO Scott Gnau says"At its heart, Hortonworks Operational Services is designed to reduce complexity when building, deploying and managing big data, whether it is on-prem or in the cloud..."
http://www.zdnet.com/article/hortonworks-confluent-and-waterline-make-big-data-easier/
Thursday, March 15, 2018
Cloudera founder Mike Olson: ‘We’re moving from automating processes to automating decisions’
The growing momentum of big data in the cloud has been described as a threat to @Cloudera Inc., which is ironic given that the company’s original business plan was to sell big data as a cloud service. The market wasn’t ready in 2008, so Cloudera shifted to selling an integrated platform that combines various open-source projects with proprietary extensions. Of the three prominent startups to emerge from the @Hadoop ecosystem, the other two being @MapR Technologies Inc. and @Hortonworks Inc., Cloudera was the most prominent, in no small part because of the $740 million investment it received from @Intel Corp. in 2014. Its stock-market performance since going public last April has been underwhelming, but few would deny that it’s a market leader. Chief Strategy Officer Mike Olson, one of Cloudera’s four founders, joined SiliconANGLE recently for a telephone interview on where big data’s going next. Gartner has estimated that 85 percent of enterprise big data projects failed. Does that surprise you? I don’t understand who they’re talking to. We’re a high-growth company in the $300 million-plus forecast range and most of our business is still on-prem. People aren’t shutting down large football fields of Teradata [Corp.], but the opportunity was never to displace data warehouses. It was to capture more data than we could before and see what we could do if we had better tools to derive value. I think Gartner is comparing the wrong things. The growth rate of machine learning is zero if you compare it against traditional markets because there is no traditional market. But it has created value in huge new ways. It’s true that the biggest growth area has been in cloud databases like Cloudera Altus and Redshift on Amazon Web Services. We’ve believed since the early days that much of the action would be in cloud services, and that’s why we named the company Cloudera. We still believe that, but I think there’s enormous potential and success in on-prem deployments. Three years ago, Cloudera defined its mission around a unified platform built on Hadoop, the pioneering framework for managing big data. Today, you don’t even mention Hadoop in your description. What changed? We talked about Hadoop in the early days because people needed to know what the platform was and what we had. Today it’s a much richer environment. We’re seeing native machine learning using Spark integrated with AWS storage buckets. There’s no Hadoop in there. This platform is doing more than just what Hadoop did. Our original platform was Hadoop and MapReduce. Today, we ship 26 different open-source projects, 18 of which were created by Clouderans. Hadoop is always going to be part of the foundation of the company — and we’re proud that we spotted it so early — but it’s only a small part of what we do today.
Thursday, December 28, 2017
3 Takeaways From Cloudera's Strong Earnings Report
@Cloudera (NYSE:CLDR), the #Hadoop software distributor, recently reported third-quarter earnings, sending shares up about 7%. Cloudera went public back in April at $15 but has traded as high as $23 earlier this year. #Bigdata #analytics and #opensource Hadoop is becoming a key tool for large enterprises over the world, and the recent quarter's results showed this in spades. However, as is the case with many high-growth, young tech companies, Cloudera also continues to rack up losses with $24.4 million in non-GAAP operating losses. Including stock-based compensation, operating losses were $56.6 million. Here's what management wants us to know about the company's key achievements last quarter.  IMAGES SOURCE: GETTY IMAGES. Going into the cloud Cloudera's biggest announcement last quarter was a product called the Shared Data Experience, or SDX. Basically, Cloudera has made a product that allows large enterprises to work across Amazon (NASDAQ:AMZN) Web Services, Microsoft (NASDAQ:MSFT) Azure, or a private data center running the Hadoop Distributed File System. Traditionally, Hadoop deployments occurred with a company's data center, but as more and more large enterprises are increasingly turning to the cloud, they run into a problem -- how to govern the company's data moving around all over the place, and how do you cleanse and analyze all the data across environments? Said Chief Strategy Officer Mike Olsen: If you're an enterprise CIO or CBO, you're required by law to protect sensitive user data. You're generally under the gaze of regulators, making sure you comply with rules, governing how data is used and by whom... But that data is essential for high value business applications. You need to be able to process new data as it arrives, to clean it and enhance it. Then, you need to be able to query it or to do statistical analyses or to train machine learning models... At every step, there are new security and identity systems. The result is that operations staff are forced to create multiple copies of data. This data replication and movement increases risk, management complexity and cost. There's no way to look at data lineage, or to set policies for end-to-end data governance. There's no support for answering the questions that regulators ask. And that's precisely the problem that SDX solves... This is good news, given that Hadoop has traditionally run in a data center. Last quarter, for instance, only 20% of Cloudera's revenue came from cloud deployments. Since large enterprises -- which make up most of Clouder's revenue -- are increasingly accelerating cloud and hybrid cloud environments, it is essential that Cloudera's software works seamlessly across the major clouds. The SDX product not only does that but aids companies in assuring security, too. Torrid growth These enterprise-oriented initiatives may help explain the growing confidence corporations are putting in Cloudera. Here are some eye-popping growth figures from the past quarter: Subscription growth of 48%, accelerating from 46% in the second quarter. Net expansion rate (which is same-customer sales versus one year ago) of 135%, which is still strong, compared to 140% in the second quarter. The difference was that the company landed a higher proportion of Global 8000 customers, which have a higher initial spend rate. This increased the initial customer spend from $65,000 to $75,000. 50 customers had annual run rates of $1 million or greater, up from 40 just last quarter. Subscription non-GAAP gross margin expanded 250 basis points to 86%. Clearly, the company is seeing positive momentum, increasing usage, and bigger wins, which helped drive the optimism following the earnings announcement.  But can it be profitable? Despite this rapid pace of revenue growth, the company is still unprofitable. Cloudera doesn't believe it will be operating cash flow break-even for another four to six quarters. Investors should remember that stock-based compensation, a real expense, isn't counted in operating cash flow, so real profitability lies even beyond that horizon. SBC was a whopping $31 million in this past quarter alone, so keep an eye out for that number going forward. Before you discount Cloudera on that basis, however, keep in mind these Hadoop companies operate a "land and expand" strategy, which means existing customers pay Cloudera according to how much data they use. Since data projects should continue to grow (as evidenced by the expansion rate), the company should become more profitable over time just based on increasing usage from current customers. Clearly, the company is aggressively investing ahead of that. The big picture Cloudera, like its rival Hortonworks (NASDAQ:HDP) reported a strong third quarter, showing that Hadoop and big data science tools are being used more and more across enterprises of all types. Just keep in mind that profitability is still a ways off.
https://www.fool.com/investing/2017/12/27/3-takeaways-from-clouderas-strong-earnings-report.aspx
Monday, November 27, 2017
Key Insights on the Global Hadoop Market | Technavio
LONDON--(BUSINESS WIRE)--The latest market research report by Technavio on the global Hadoop market predicts a CAGR of more than 39% during the period 2017-2021. Global #Hadoop market is set to grow at a CAGR of more than 39% during the period 2017-2021. @Technavio Tweet this The report has further categorized the global Hadoop market into different segments by end-user (banking, financial services, and insurance sector, government sector, communications sector, healthcare sector, and others) and by geography (the Americas, EMEA, and APAC). It provides a detailed illustration of the major factors influencing the market, including drivers, opportunities, trends, and industry-specific challenges. Here are some key findings of the global Hadoop market, according to Technavio ICT researchers: Growing structured and unstructured data: a major market driver The BFSI sector was the largest end-user of Hadoop in 2016 In 2016, the Americas dominated the global Hadoop market with a share of more than 55% The major players in the market include #Amazon, #Cloudera, #Hortonworks, #IBM, #MapR Technologies, #Microsoft, #Pivotal Software and #Teradata This report is available at a USD 1,000 discount for a limited time only: View market snapshot before purchasing Buy 1 Technavio report and get the second for 50% off. Buy 2 Technavio reports and get the third for free. Growing structured and unstructured data: a major market driver Growing structured and unstructured data is one of the key factors driving the global Hadoop market. Enterprise data, including structured data and unstructured data, is generated from various sources such as enterprise applications, web-based search, social networks, and cloud-based applications. The data coming from embedded systems and metadata are some of the fastest-growing data segments. Hadoop is necessary for organizations to process the huge volumes of big data generated and to use the data effectively. Hadoop and big data analytics assist enterprises to optimize their business decisions and innovate new business models, products, and services offerings. According to Amrita Choudhury, a lead analyst at Technavio for research on enterprise application, “Accessibility to Hadoop, as a part of or as an extension to the corporate information framework, is necessary. It should be made available for analysis and decision-making. Companies use Hadoop and Spark for real-time analytics. They are also used for fraud detection, product design and development, and process automation. Therefore, the growth of structured and unstructured data is expected to fuel the demand for Hadoop during the forecast period.” Looking for more information on this market? Request a free sample report Technavio’s sample reports are free of charge and contain multiple sections of the report including the market size and forecast, drivers, challenges, trends, and more. BFSI sector: largest end-user segment Hadoop is utilized across the BFSI sector for various applications such as fraud detection, data security, customer intelligence, data modeling, neural network scoring, social media management, and customer analysis. Big data on Hadoop assists to pick up odd patterns and alerts the bank of the same. Sigorta Bilgi ve Gözetim Merkezi (SBM), also known as Insurance Information and Monitoring Center, is a non-commercial legal entity in the body of the Union of Insurance and Reinsurance Companies of Turkey. SBM uses SAS Fraud Framework and analytics to improve the fraud detection rates and to focus more on organized fraud cases. Competitive vendor landscape The global Hadoop market is not intensely fragmented. The dominating players in the market are Hortonworks, Cloudera, MapR Technologies, and Microsoft. There is intense competition among these vendors. Owing to the increased competition, consolidation is being observed in the industry wherein smaller players are being acquired by or merged with the major players. Moreover, the changing technological environment is a major challenge for the global vendors. To survive and succeed in this intensely competitive environment, it is essential that the vendors differentiate their products and services through clear and unique value propositions.
http://www.businesswire.com/news/home/20171126005027/en/Key-Insights-Global-Hadoop-Market-Technavio
Sunday, November 12, 2017
Hadoop – Global Market to witness astonishing growth of 39% in next years
HTF’s analysts forecast the global hadoop market to grow at a CAGR of 39.49% during the period 2017-2021. HTF recognizes the following companies as the key players in the global #Hadoop market: @Amazon, @Cloudera, @Hortonworks, @IBM, @MapR Technologies, @Microsoft, @Pivotal Software, and @Teradata. Commenting on the report, an analyst from HTF’s team said: “One trend in the market is increasing market consolidation and partnerships. The consolidation in the global Hadoop market is increasing. Many large enterprise computing vendors are increasingly acquiring companies to attain new big data technologies. Larger vendors are targeting smaller companies to expand their business portfolio in the global big data and Hadoop market.”
Sunday, November 5, 2017
Global Hadoop Big Data Analytics Market Top Key Players: Microsoft, IBM Corporation, SAP SE, Pivotal Software, Inc, Marklogic Corporation, Hitachi Vantara & More
2017 Market Research Report focuses on price, sales, revenue and growth rate of each type, as well as the types and each type price of key manufacturers, through interviewing key manufacturers. Second on basis of segments by manufacturers, this report focuses on the sales, price of each type, average price of Credit Insurance, revenue and market share, for key manufacturers. Request for Free Sample Report @ databridgemarketresearch.com/request-a-sample/?dbmr=globa...  Global #Hadoop #BigData #Analytics Market accounted for USD 6.56 billion in 2016 growing at a CAGR of 44.65% during the forecast period of 2017 to 2024. The upcoming market report contains data for historic year 2014, 2015, the base year of calculation is 2016 and the forecast period is 2017 to 2024. Global Hadoop Big Data Analytics Market, By Geography, Solution (Packaged Software, Management Software, Application Software, Performance Monitoring Software), Service (Consulting & Development Services, Training & Support Services, Admin & Managed Services), Application, Vertical- Industry Trends and Forecast to 2024 Complete report on Global Hadoop Big Data Analytics Market Research Report 2017-2024 spread across 350 Pages, profiling Top companies and supports with tables and figures Top Key Players In the Global #Hadoop #BigData #Analytics Market : •@Microsoft •@IBM Corporation • @SAP SE •@Pivotal Software, Inc •@Marklogic Corporation •@Hitachi Vantara • @Cloudera, Inc. • @TABLEAU SOFTWARE •@Hortonworks Inc •@MapR Technologies, Inc •@Karmasphere, Inc. • @Amazon Web Services, Inc. • @Teradata • @Trendwise Analytics •@Appnovation • @O’Reilly Media, Inc.
Wednesday, October 25, 2017
Global Hadoop And Big Data Analytics Market 2017: Cloudera, Karmasphere, Greenplum, Hstreaming, Zettaset
QY Market Research include new Hadoop And Big Data Analytics market research report "2016-2022 Report on Global Hadoop And Big Data Analytics Market Competition, Status and Forecast, Market Size by Players, Regions, Type, Application" to its huge collection of research reports. This report on the global Hadoop And Big Data Analytics market is highly helpful because it covers all the aspects which are important in deciding the future of this industry. The Hadoop And Big Data Analytics report is collated by full-fledged analysts who have created use of their market intelligence to explain all basic and crucial knowledge regarding the worldwide Hadoop And Big Data Analytics industry.  Get Free Sample of Report Here: bit.ly/2lclWf8 The Hadoop And Big Data Analytics market report makes use of tables, charts, graphs, maps, and statistics to present the data in the easiest way to understand. The Hadoop And Big Data Analytics market report is a comprehensive analysis of the key factors impacting the global Hadoop And Big Data Analytics industry. This Hadoop And Big Data Analytics market report includes both the driving factors as well as the restraining factors that are influencing the market's performance positively and negatively, respectively. Top Manufacturers Analysis Of global #Hadoop And #BigData #Analytics market @Cloudera Inc. @Hortonworks @Hadapt @AmazonWebServices LLC @Outerthought @MapR Technologies Platform Computing @Karmasphere @Greenplum @Hstreaming LLC @Pentaho Corporation @Zettaset The present trends shaping the worldwide Hadoop And Big Data Analytics market and the way it will influence the Hadoop And Big Data Analytics market within the future are studied. Additionally to this, the future opportunities within the Hadoop And Big Data Analytics market that have the potential to assist the market to expand are given within the Hadoop And Big Data Analytics report. Enquire Here: bit.ly/2z5gTDE The segments inside the global Hadoop And Big Data Analytics industry and their sub-segments also are studied in detail. This ensures that the whole Hadoop And Big Data Analytics market is covered. The leading segment along with the declining segment and also the most promising segment has been given during this Hadoop And Big Data Analytics report. This helps the newcomers, shareholders, readers, stockholders and leading manufacturers to choose which segment or sub-segment to speculate on therefore on acquire most profits. The Hadoop And Big Data Analytics market report discusses the degree of competition, bargaining power of suppliers, bargaining power of buyers, and a threat of substitutes, both internal and external substitute of Hadoop And Big Data Analytics market. The threat of recent entrants or the barriers experienced by new and prime players in getting into the worldwide Hadoop And Big Data Analytics market has been mentioned. This offers new players a plan on whether or not they will exist within the competitive Hadoop And Big Data Analytics industry. About Us: Business Worldwide is a trusted brand in the research industry with a capability of commissioning complex projects within a short span of time with high level of accuracy. At Business Worldwide, we believe in building long-term relations with our clients. Our services cover a broad spectrum of industries including Energy, Chemicals and Materials, Automotive, Software and Aerospace.
Wednesday, October 18, 2017
PSSC Labs Named a 10 Best Hadoop Solution Provider Companies to Watch
LAKE FOREST, CALIF. (PRWEB) OCTOBER 18, 2017 @PSSCLabs, a developer of custom #HPC and #BigData #computing solutions, today announced it has been named to Insights Success Magazine’s 10 Best @Hadoop Solution Provider Companies to Watch. Providing industry leading server platforms engineered specifically for Hadoop, PSSC Labs is a leader in providing turn-key solutions for enterprise #BigData needs. Hadoop is a constantly evolving and expanding ecosystem that is disrupting the traditional storage and analytics platforms with more flexibility, speed, and reliability – creating an ideal, low cost, and scalable solution for today’s enterprise market. PSSC Labs’ exceptional record of offering the most powerful Hadoop solutions to its customers around the world has earned the company a place on this year’s Best Hadoop Solution Providers list. Editors at Insight Success Magazine analyze companies large and small to find the most unique and disruptive Hadoop solution providers on the market, choosing PSSC Labs as one of its standouts. To view the complete profile visit http://www.insightssuccess.com/pssc-labs-delivering-hand-crafted-hpc-extraordinary-big-data-computing-solutions/. Designed for Hadoop PSSC Labs has deployed over 100 petabytes of Hadoop infrastructure, including small POC clusters to production environments exceeding 10 PB. PSSC Labs’ CloudOOP Big Data Server Line is ideal for organizations looking for Hadoop solutions, and ideal for numerous industries including Ad Tech, Healthcare, Telecom, Media & Entertainment, and Cybersecurity. Designed specifically for Hadoop, Kafka, Big Data and edge computing with IOT devices and sensors, the CloudOOP line is engineered for faster data ingestion and processing. Proven compatible with leading data platforms including Hortonworks, Cloudera and MapR, the line offers enterprises a platform that will significantly lower both CapEx and OpEx costs while achieving higher data throughput performance. Utilizing PSSC Labs’ specialized server design and unique, customized solutions, the CloudOOP line delivers high performance, high density, flexibility and scalability while reducing overall footprint and power usage. Offering 2x the density, 35% reduction in power use and up to 50% increase in data throughput, the CloudOOP line allows companies to scale their infrastructure while reducing the need for additional network, rack and power components – reducing total cost of ownership.
http://www.prweb.com/releases/2017/10/prweb14808617.htm
Monday, October 16, 2017
GLOBAL HADOOP MARKET 2017- MAPR TECHNOLOGIES , PENTAHO, HORTON WORKS AND CLOUDERA .
Global Hadoop Market research report starts with basic introduction of Hadoop market, basic definitions, end-user applications, classifications and industry chain structure. The report also predicts upcoming Hadoop market tendencies by analyzing past market values and current Hadoop market needs. Comparison of past, current and future data is also accomplished in the global Hadoop industry report so as to envision drastic conversion of Hadoop market. The report keeps a complete picture of Hadoop market size and growth in front of our clients and enhances them to make right Hadoop business decisions. It entails bureaucratic outlook of the Hadoop market both regionally and internationally. Clients face major challenges and disputes while analyzing the Hadoop market. Hence, Hadoop market demand and supply analysis mentioned in the Hadoop study would help clients to face those challenges conveniently. Different strategies used to retrieve the relevant and crucial data are also mentioned in the Hadoop research report. The Hadoop report also acknowledges remarkable data including sales margin, business deceits, Hadoop company profiles along with their company information, and scale of demand to supply. It also throws a light on cropping up products of Hadoop industry, details of product price/cost and various market forces. Towards the end, the Hadoop report highlights the critical process analysis carried out by Hadoop experts and professionals. For more details about Global Hadoop Market report enquire here: https://market.biz/report/global-hadoop-market-icrw/42628/#inquiry The global Hadoop market research report is isolated according to key manufacturers, different categories of products & Hadoop applications. According to the research information, the Hadoop market is highly diverse and competing because of a large number of local and global Hadoop vendors. The Hadoop players focusing on the development of new Hadoop technologies and feedstock to strengthen the technological expertise in Hadoop industry. Manufacturers based Segmentation of Global Hadoop Market gives detailed infomation about leading players of @Hadoop which includes @HStreaming LLC, @CiscoSystems, @HortonWorks, @Cloudera ., @Karmasphere ., @EMC – @Greenplum, @Pentaho, @Teradata Corp., @MapR Technologies ., @IBM Corp. and .. Types based Segmentation of Global Hadoop Market categories into SQL Layer, Analytics and Visualization, Searching and Indexing, Machine Learning, Hadoop Application Software and Hadoop Performance Monitoring Software. Application analysis is also included along with type analysis which divides the Hadoop market into Manufacturing, Media and Entertainment, Banking, Financial services and Insurance (BFSI), Telecommunications, Healthcare and Life Sciences and Retail. Regions based Segmentation of Global Hadoop Market mainly focuses on Hadoop specific regions of the world including North America, South America, Europe, Asia-Pacific and the Middle East. Market growth of Hadoop industry is expected to grow with significant CAGR during the Hadoop forecast period from 2017 to 2022. Click here for request a global Hadoop market report: https://market.biz/report/global-hadoop-market-icrw/42628/#requestforsample Major highlights of the Global Hadoop market Report: The Hadoop report chiefly evaluates the in-depth groundwork of the Hadoop market and covers major geographical Hadoop regions. It provides clear tolerant about the Hadoop market along with different opportunities, constraints, Hadoop growth, and practicality. It also displays various Hadoop plans and policies, industrial chain, rules and regulations of the Hadoop industry. At last, the overall global Hadoop market report will assist the new aspirants in making right Hadoop business choices.
http://publicistreport.com/market-research-news/global-hadoop-market-2017.html
Tuesday, October 10, 2017
Why Cloudera, Inc. Stock Fell 14.3% in September
Cloudera (NYSE: CLDR) dipped 14.3% in September, according to data from S&P Global Market Intelligence, following a post-earnings sell-off and the announcement of a secondary stock offering. So what @Cloudera, which specializes in big data and @Hadoop distribution, released its second-quarter earnings results on Sept. 7, delivering revenue and earnings that topped the average analyst estimates. Despite a strong performance that saw subscription revenues climb 46% year over year, overall sales climb 39%, and new guidance for a smaller loss on the fiscal year, the company's shares dipped following the earnings release. Shares continued to fall after the company announced on Sept. 15 that it had filed for a new stock offering. Details on the follow-up offering are still somewhat scarce, but the company has confirmed that it will involve selling existing shares and issuing new stock. The company's post-IPO lockup period is set to expire on Oct. 25, and the potential for large insider sell-offs could be another source of anxiety for shareholders. Image source: Getty Images. Now what Along with chief competitor Hortonworks, Cloudera is a first mover in enterprise Hadoop platforms, and stands to benefit from rapidly expanding addressable markets for categories like data analytics and machine learning. As a young company operating in the fast-growing cloud-services space, Cloudera has a lot of room to run if its business manages to remain competitive. On the other hand, it will likely have to fend off resource-rich competitors like Oracle, SAP, and IBM, and come up with new ways to differentiate its product offerings. With a roughly $2.2 billion market cap, there's lots of potential for volatility with Cloudera stock, and, as shown in September, even solid earnings performance might not be met with a favorable market reaction. Investors in the company should closely track the company's progress -- while not reading too much into big short-term swings in valuation.
Sunday, October 8, 2017
Global Hadoop Market Report 2017: Analysis & Trends 2014-2016 & Industry Forecasts 2017-2025
Dublin, Oct. 06, 2017 (GLOBE NEWSWIRE) -- The "Global Hadoop Market Analysis & Trends - Industry Forecast to 2025" report has been added to Research and Markets' offering. The Global Hadoop Market is poised to grow at a CAGR of around 42.7% over the next decade to reach approximately $54.2 billion by 2025. This industry report analyzes the market estimates and forecasts of all the given segments on global as well as regional levels presented in the research scope. The study provides historical market data for 2014, 2015 revenue estimations are presented for 2016 and forecasts from 2017 till 2025. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies for the existing players, new entrants and the future investors. Some of the prominent trends that the market is witnessing include rising demand for data analytics and increasing number of partnerships and fundings taking place in hadoop Market.
10 Leading @Hadoop Companies
@Cloudera, Inc
@AmazonWebServices
@Datameer,
@Mapr
@TeradataCorporation
@MarkLogic
@Karmasphere,Inc
@Pentaho
@Hortonworks
@Cisco Systems, Inc
@IBM Corporation
@Oracle Corporation, Inc
@OpenX
@Vmware
@Pivotal
Wednesday, September 27, 2017
IBM Unveils a New High-Powered Analytics System for Fast Access to Data Science
ARMONK, N.Y., Sept. 26, 2017 /PRNewswire/ -- IBM (NYSE: #IBM ) today announced the Integrated Analytics System, a new unified data system designed to give users fast, easy access to advanced data science capabilities and the ability to work with their data across private, public or hybrid cloud environments.  The system, which comes with a variety of data science tools built-in, allows data scientists to get up and running quickly to develop and deploy their advanced analytics models in-place, directly where the data resides for greater performance. And because it is based on the IBM common SQL engine, clients can use the system to easily move workloads to the public cloud to begin automating their businesses with machine learning. In fact, because the popular database engine is used across both hosted and cloud-based databases, users can move and query data across multiple data stores, such as the Db2 Warehouse on Cloud, or #Hortonworks Data Platform. At the heart of the Integrated Analytics System are the #IBM Data Science Experience, #Apache #Spark and the #Db2 Warehouse, all of which have been optimized to work together with straight forward management. The Data Science Experience provides a set of critical data science tools and a collaborative work space through which data scientists can create new analytic models that developers can use to build intelligent applications quickly and easily. The inclusion of Apache Spark, the popular open source framework, enables in-memory data processing, which speeds analytic applications by allowing analytics to be processed directly where the data resides. New to this class of offering are the machine learning capabilities that come with both the Data Science Experience and Spark embedded on the system. Having machine learning processing embedded means that data does not need to be moved to the analytics processing, reducing the associated processes and wait times for analytics to run and respond. This simplifies the process of training and evaluating predictive models, as well as the testing, deployment and training as it is all done in-place. "The combination of high performance and advanced analytics – from the Data Science Experience to the open Spark platform – gives our business analysts the ability to conduct intense data investigations with ease and speed," said Vitaly Tsivin, Executive Vice President, at AMC Networks, who has been testing the system for several months. "The Integrated Analytics System is positioned as an integral component of an enterprise data architecture solution, connecting IBM Netezza Data Warehouse and IBM PureData System for Analytics, cloud-based Db2 Warehouse on Cloud clusters, and other data sources." "Today's announcement is a continuation of our aggressive strategy to make data science and machine learning more accessible than ever before and to help organizations like AMC, begin harvesting their massive data volumes – across infrastructures – for insight and intelligence," said Rob Thomas, General Manager, IBM Analytics. Seamless Expansion to the Cloud The integrated architecture of the new system combines software enhancements such as asymmetric massively parallel processing (AMPP) with IBM Power® technology and flash memory storage hardware and builds on the IBM PureData System for Analytics, and the previous IBM Netezza data warehouse offerings. It also supports a wide range of data types and data services, including everything from the Watson Data Platform and IBM Db2 Warehouse On Cloud, to Hadoop and IBM BigSQL. Like these solutions, the Integrated Analytics System is built with the IBM common SQL engine, enabling users to seamlessly integrate the unit with cloud-based warehouse solutions. In addition, industry standard tools and the common SQL engine provide users with an option to also move these workloads seamlessly to public or private cloud environments with Spark clusters, based on the user's requirements. Like IBM's existing data warehouse products, the Integrated Analytics System is designed to provide built-in data virtualization and compatibility with Netezza®, Db2®, and IBM PureData System for Analytics. Among these capabilities, the new system also incorporates hybrid transactional analytical processing (HTAP). In contrast to typical business environments where transaction processing and analytics are run on distinct architectures, HTAP runs predictive analytics, transactional and historical data on the same database at accelerated response times. Later this year, the company plans to add support for HTAP with IBM Db2 Analytics Accelerator for z/OS, which will enable the system to transparently integrate with IBM z Systems infrastructures.
Yahoo is giving a critical piece of internal technology to the world -- just like it did with Hadoop
Yahoo is open-sourcing an internal tool called #Vespa, which it uses for content recommendations, ad serving, and executing certain searches. Vespa is arguably #Yahoo 's biggest open-source software release since #Hadoop in 2009, which formed the basis for two now-public companies, #Hortonworks and #Cloudera. Companies like #Amazon, #Facebook, and #Google could find it useful.
Oath, the #Verizon-owned parent company of Yahoo, is releasing for free some of its most important internal software, which the company has long used to make recommendations, target ads and execute searches.
The Vespa software solves a common but surprisingly difficult problem: quickly figuring out what to show a user in response to input, like when they type text into a box. Oath uses it in around 150 applications, including Flickr, Yahoo Mail and the main Yahoo search engine (specifically for components like entities, local results, images and answers to questions). It handles 3 billion native ad requests every day.
"The typical case is you don't know what you want to serve, but you have 20 billion pictures and you want to find the right ones," Jon Bratseth, a distinguished architect at Yahoo who led Vespa's development, told CNBC in an interview.
Vespa, which is now live on GitHub with an Apache 2.0 open-source license, can easily be added to different applications, making it suitable for use at big companies like Amazon, Facebook and Google that need to do different kinds of processing on different sets of data.
The release is the most important for Yahoo since it open-sourced the code for the Hadoop big data software in 2006. Hadoop has since come to be at the center of two public companies, Cloudera and Yahoo spin-off Hortonworks. Today people at lots of companies can contribute to technology that's still widely used at Yahoo, and build their own systems using Hadoop.
How Yahoo built it
Big tech companies regularly open-source their software. But if there's powerful software at the heart of a company's biggest revenue centers, it can take a while to come out into the open, and Vespa is no different.
Vespa dates back to the early 2000s. Yahoo already had web search technology, first through a partnership with Google and later through its 2002 Inktomi acquisition. What Yahoo didn't have was technology for delivering search results and recommendations on content that falls outside traditional web search results.
In 2003 Yahoo acquired Overture, which included its partner AltaVista as well as a lesser known search engine called AllTheWeb.com. After the deal, the roughly 30 AllTheWeb people were given a year to build software that could perform certain functions quickly before web pages were shown to end users. The system also needed to be easy to set up, run and tweak, so that it could be applied to a variety of applications without much trouble.
In around 2005, the AllTheWeb team worked with Yahoo's shopping team to adopt the new system. It required less management time, freeing up staffers to build new features.
"After that, we had a proven use case -- and that was a complicated one," Bratseth said. "More and more teams in Yahoo started using our system by themselves, because it made business sense. They would offload a lot of the problems they had to take care of themselves."
So Bratseth's team started expanding the powers of Vespa. They made it capable of handling input other than users' strings of text; over time it could also personalize content based on what users had clicked on in the past, which is valuable in cases when users haven't typed in anything. They also changed Vespa so that it could take direction from machine-learning algorithms.
https://www.cnbc.com/2017/09/26/yahoo-open-sources-vespa-for-content-recommendations.html
Sunday, September 24, 2017
OPEN SOURCE INNOVATIONS IN HADOOP AND THE CLOUD!
In association with the Czech & Slovak #Hadoop User Group, this Future of Data inauguration meetup will demonstrate the recent developments brought to you by #Hortonworks the leader in #opensource #BigData technologies. We are enjoying the generosity of our local host, Ataccama, the company that specializes in delivering smart and collaborative data curation solutions for the Digital Age. Talk of the evening: From open source innovation to enterprise readiness Gergely Devenyi (Managing Director) is a long-time data warehousing and business intelligence veteran with extensive experience managing engineering teams. Peter Erdos (Cloudbreak R&D) is an experienced software developer specializing in solving complex cloud deployment problems lately. Abstract: At Hortonworks, we are dedicated to help our customers solve big data problems with the Hadoop ecosystem with 100% Open Source software. In this talk, we are going to expand on three topics: a/ The Apache Way at Hortonworks – how do we align to the ASF meritocracy b/ Maintenance and support challenges of deploying Hadoop in enterprise production environments c/ Our unique initaitive in facilitating & automating Hadoop deployment into commercial and private clouds
https://hortonworks.com/event/open-source-innovations-hadoop-cloud/
Monday, September 4, 2017
Hadoop Software Market : Trend And Future Scope Of The Report 2017
#Hadoop Software Market research report helps to get access to industry data and upcoming trends which will give you avenues to know about the market. This report gives opportunities to go through with industry analysis, share and forecast, Providing brief description about the market size its competitors and product identification. This report studies Hadoop Software in Global market, especially in North America, Europe, China, Japan, Korea and Taiwan, focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering #ClouderaInc. #HortonWorks #IBMCorp. #Pentaho #MapRTechnologiesInc. #Karmasphere Inc. #EMC - #Greenplum #HStreamingLLC #CiscoSystemsInc. #TeradataCorp.
Sunday, August 27, 2017
Global Hadoop Market is expected to grow at a CAGR of +52% over the forecast period 2015 to 2022
This report gives an in-depth research about the overall state of Hadoop Systems market and projects an overview of its growth market. It also gives the crucial elements of the market and across major global regions in detail. Number on primary and secondary research has been carried out in order to collect required data for completing this particular report. Sever industry based analytical techniques has been narrowed down for a better understanding of this market. Hadoop is a data storage processing system that enables data storage, file sharing, data analytics etc. The technology is scalable & enables effective analysis from large unstructured data therefore adding value. With increasing role of social media and internet communication Hadoop is being largely used by various spectrum of companies ranging from Facebook to Yahoo. Other big users of #Hadoop include #Cloudera, #Hortonworks, #IBM, #Amazon, #Intel, #Mapr, #Microsoft. This technology facilitates its users to handle more data through enhanced storage capacity also enables data retrieval in case of hardware failure.
Some of the key players in the global hadoop market include: #IBM, #DellTechnologies, #CiscoSystems, Inc., #HewlettPackard, #Zettaset, Inc., #AmazonWebServices, #Datastax, Inc., #MapRTechnologies, Inc., #FujitsuLtd., #HitachiDataSystems, #Datameer, Inc., #TeradataCorporation, #Rainstor, #Cloudera, Inc. and #Hortonworks Inc.
Hadoop as a solution is increasingly offering data retrieval and data security features. These features are getting better with time. This is leading to enhanced solution to database management systems (DBMS). Hadoop software is the highest growing market in comparison to hardware and services. In terms of geographical segmentation, North America expected to lead the revenues in this market due to higher rate of technology adoption.
Service segment is valued to account for the largest share across the global market and software segment is expected to register the highest growth due to increasing penetration of Hadoop software in various industries such as BFSI, government and telecommunication. Hadoop application software has the dominant share in global market and is expected to continue its dominance throughout forecast period owing to increasing operation by developers to make real time applications.
Sunday, August 20, 2017
Big Data Analytics & Hadoop Market is expected to reach at a CAGR of +41% from 2017 to 2021
The global #Hadoop #BigData Analytics market is explained in detail in this report, starting with a basic overview, which includes definitions and various specifics related to the raw materials used in manufacturing Hadoop Big Data Analytics products. It includes a categorized distinction of major and minor factors that influence this global industry. The overview also includes a description of the value chain structure of the global industry and a status update for the different major regional segments of this industry.
Big Data Analytics & Hadoop Market is expected to reach at a CAGR of +41% from 2017 to 2021. Rise of big data & growing need for big data analytics and rapid growth in consumer data are some of the factors fueling the market growth. Lack of skilled workers and Lack of security features in the Hadoop framework are restraining the market growth. Venture capital funding is the major opportunity for vendors in big data analytics and hadoop market.
Some of the key players in the The global #Hadoop #BigData #Analytics market include: #DellTechnologies #Karmasphere Inc., #Talend, Inc., #DataDirectNetworks, Inc., #AmazonWebService LLC, #HORTONWORKS , INC., #Appistry, Inc., #NetApp, Inc., #TeradataCorporation, #ClouderaInc., The #HewlettPackard Company, #Greenplum, Inc., #Datameer, Inc., #Zettaset, Inc., #Fujitsu Ltd., #PentahoCorporation, #DataStax, Inc., #PlatformComputing, #HStreamingLLC , #MapRTechnologies, Inc., #IBM and #HadaptInc
Wednesday, August 16, 2017
Technical Reports on Technical and System Software Equities -- Nutanix, Hortonworks, Okta, and PTC Inc.
NEW YORK, August 16, 2017 /PRNewswire/ -- If you want a Stock Review on NTNX, HDP, OKTA, or PTC then come over to http://dailystocktracker.com/register/ and sign up for your free customized report today. Companies in the Technical and System Software industry design, develop, manufacture, and market technical and system software. This type of software includes assemblers, compilers, file management tools, system utilities, and debuggers. Pre-market today, DailyStockTracker.com scans the following equities: #Nutanix Inc. ( #NASDAQ: #NTNX), #Hortonworks Inc. (NASDAQ: #HDP), #Okta Inc. (NASDAQ: OKTA), and #PTC Inc. (NASDAQ: PTC). Learn more about these stocks by downloading their comprehensive and free reports from DailyStockTracker.com member's area at: http://dailystocktracker.com/register/ Nutanix On Tuesday, shares in San Jose, California headquartered Nutanix Inc. saw a drop of 3.35%, ending the day at $21.32. The stock recorded a trading volume of 2.10 million shares. The Company's shares have advanced 25.86% over the previous three months. The stock is trading above its 50-day moving average by 4.94%. Moreover, shares of Nutanix, which together with its subsidiaries, provides enterprise cloud platform solutions that converge traditional silos of server, virtualization, and storage into one integrated solution, have a Relative Strength Index (RSI) of 50.41. On August 08th, 2017, Nutanix announced that it will report its financial results for the Q4 FY17 and FY17, which ended July 31st, 2017, after US markets close on August 31st, 2017. The Company will also host a conference call and earnings webcast beginning at 4:30 p.m. EDT on that same day to discuss the results. NTNX complete research report is just a click away at: http://dailystocktracker.com/registration/?symbol=NTNX Hortonworks Shares in Santa Clara, California headquartered Hortonworks Inc. ended the day 0.34% lower at $14.48 with a total trading volume of 547,178 shares. In the last month and the previous three months, the stock has gained 0.70% and 11.90%, respectively. Additionally, the Company's shares have surged 74.25% on an YTD basis. The stock is trading above its 50-day and 200-day moving averages by 8.76% and 34.90%, respectively. Furthermore, shares of Hortonwork, which creates, distributes, and supports a class of enterprise data management software solutions built on open source technology in the US, the UK, and internationally, have an RSI of 57.32. On July 25th, 2017, research firm Needham initiated a 'Buy' rating on the Company's stock, with a target price of $25 per share. On August 03rd, 2017, Hortonworks announced financial results for Q2 2017. For Q2 2017, on a GAAP basis, revenue was $61.8 million; gross profit was $41.4 million; operating loss was $54.5 million; and net loss was $56.1 million. Cash and investments totaled $71.8 million as of June 30th, 2017, compared to $89.2 million as of December 31st, 2016, and $130.1 million as of June 30th, 2016. The complimentary report on HDP can be downloaded at: http://dailystocktracker.com/registration/?symbol=HDP Okta Inc. At the close of trading on Tuesday, shares in San Francisco, California headquartered Okta Inc. finished 1.75% lower at $23.61 with a total trading volume of 151,806 shares. The stock has advanced 1.50% over the previous three months and 0.43% on an YTD basis. The Company's shares are trading below their 50-day moving average by 1.90%. Additionally, shares of Okta, which operates an integrated system that connects persons via devices, have an RSI of 49.00. On August 04th, 2017, Okta announced that it will release its financial results for Q2 FY18 ended July 31st, 2017, after the US market close on September 07th, 2017. The Company will host a conference call that same day at 5:00 p.m. ET to discuss the results. A live webcast of the conference call will be available on the Company's website. Sign up for your complimentary research report on OKTA at: http://dailystocktracker.com/registration/?symbol=OKTA PTC Inc. Needham, Massachusetts headquartered PTC Inc.'s shares recorded a trading volume of 702,518 shares at the end of yesterday's session. The stock closed the day 0.06% lower at $53.39. The Company's shares have advanced 15.39% on an YTD basis. The stock is trading above its 200-day moving average by 1.32%. Additionally, shares of PTC Inc., which develops and delivers software products and solutions worldwide, have an RSI of 39.65. On August 09th, 2017, PTC Inc. and KPIT Technologies announced the opening of a Center of Excellence at the latter's campus located in Pune, India. The inaugural event focused on bringing customer experience and engagement to the Industrial Internet of Things with solutions built on PTC technologies. Demonstrations at the launch included intelliAsset[TM] and solutions for smart cities, smart campus, and digital journeys. Get free access to your research report on PTC at: http://dailystocktracker.com/registration/?symbol=PTC
Tuesday, August 15, 2017
Hadoop Haters Gonna Hate
The #BigData space has been confusing. Investors looking to ride the ups and downs of this market need to develop high tolerance for contradictory messages.
Take Hadoop for example. A few years ago, the technology was hailed as THE solution for all Big Data problems. Then, came the “IT research firm prediction wars”: Gartner claimed that only few companies had deployed it while Forrester forecasted that 100% of enterprises would have it by the end of next year.
Since then, two large companies servicing the #Hadoop market have gone public with much financial appeal. #Cloudera (NYSE: #CLDR) went IPO in April and its valuation now nears $2.3B (the company is set to report earnings on September 9). #Hortonworks (NASDAQ: #HDP) reported last week that its stock has gone up by over 74% since January 1st. For reference, that’s more than #Tesla (NASDAQ: #TSLA ) did in the same period!
So, what’s really happening here?
Hadoop expectations: the elephant in the room...
Hadoop has been around for about 10 years. And over the last 10 years, many innovations have been delivered, with technology breakthroughs that span a large space, from Apache Spark to Presto to Zeppelin. Social ImpactVoiceHow One Executive Woman Broke Barriers - And Helped 10,000 Women Do The Same Hadoop got it start as a batch system, primarily used to store large volumes of data at a low cost. Now, thousands of enterprises have delivered Hadoop-powered applications for financial fraud detection, cybersecurity, inventory management, network troubleshooting, risk analysis, IoT… etc. Some even claim to use Hadoop to save lives: Cerner, a Cloudera customer, says it has developed an infection detection system that has saved more than 3,000 lives to date!
https://www.forbes.com/sites/ciocentral/2017/08/15/hadoop-haters-gonna-hate/?c=0&s=trending#77685e871365
