On Thursday, Internap launched its Open Public Cloud compute product and subsequently claimed stake to the hotly contested title of “first commercial deployment of the OpenStack cloud computing platform.” In its press release, Internap noted that its Open Public Cloud delivers “high-performance, on-demand provisioning and scaling of enterprise computing capacity to meet changing web and application demands.” Additional features of the Open Public Cloud include an easy to use management interface, APIs and use of the Xen Cloud Platform. Internap’s Open Public Cloud platform is built upon the Cactus release of OpenStack and hence has yet to incorporate the latest enhancements to OpenStack specified in its Diablo release. Internap joins Dell, Citrix, Piston Cloud Computing and Nebula in laying claim to the first commercial grade deployment of OpenStack cloud computing software. In late September, Piston Cloud Computing launched an enterprise grade deployment of OpenStack with its pentOS offering for private clouds.
Monthly Archives: October 2011
On Monday, IBM announced the release of the Infosphere BigInsights application for analyzing massive volumes of structured and unstructured data on its SmartCloud environment. The SmartCloud release of IBM’s BigInsights application means that IBM beat competitors Oracle and Microsoft in the race to deploy an enterprise grade, cloud based Big Data analytics platform. Over the past month, Oracle and Microsoft have revealed plans to release cloud based Big Data applications that leverage Apache Hadoop, although in the case of both companies, plans for a live release are scheduled for 2012. BigInsights was previously accessed via the IBM Smart Business Development and Test Cloud environment that served as the testing ground for IBM’s SmartCloud which was deployed in April 2011.
IBM developed its Big Data analytics platform because organizations across a number of verticals are drowning in the sea of unstructured data such as Facebook and Twitter feeds, internet searches, log files and emails. IBM’s press release quantified the size of the emerging big data space as follows:
Organizations of all sizes are struggling to keep up with the rate and pace of big data and use it in a meaningful way to improve products, services, or the customer experience. Every day, people create the equivalent of 2.5 quintillion bytes of data from sensors, mobile devices, online transactions, and social networks; so much that 90 percent of the world’s data has been generated in the past two years. Every month people send one billion Tweets and post 30 billion messages on Facebook. Meanwhile, more than 1 trillion mobile devices are in use today and mobile commerce is expected to reach $31 billion by 2016.
IBM customers in the banking, insurance and communications verticals are currently using BigInsights to more effectively understand trends from web analytics, social media feeds, text messages and other forms of unstructured data. The availability of BigInsights via IBM’s SmartCloud is likely to accelerate enterprise adoption of the product given enterprise familiarity with the SmartCloud offering and recent publicity about its October 12 upgrade. The deployment of BigInsights on SmartCloud also gives IBM early traction in the Big Data space, with competition from Amazon Elastic MapReduce from Amazon Web Services, EMC, Teradata and HP. Granted, Oracle and Microsoft are set to join the Big Data party soon, but IBM should have at least six months to consolidate its market positioning ahead of its West coast based competitors. The enterprise version of BigInsights is priced at 60 cents per cluster per hour whereas the basic version is free.
Key features of enterprise level IBM Infosphere BigInsights include the following:
• Advanced text analytics to mine massive amounts of textual data
• A spreadsheet-like interface called BigSheets that allows users to create and deploy analytics without writing code
• Web-based management console
• Jaql, a query language for querying structured and unstructured data through an interface that resembles SQL
In tandem with the release of BigInsights on the SmartCloud, IBM announced the availability of IBM Cognos Mobile on the iPad and iPhone. iPad users can now leverage Cognos to run analytics on data and obtain access to a suite of visually rich dashboards. The combination of Cognos on the iPad and BigInsights clearly indicates that portability of access to data analytics constitutes a key component of IBM’s big data strategy. The big question now concerns how Oracle and Microsoft will differentiate themselves from BigInsights in their respective, forthcoming Big Data offerings.
Less than a week after its $1.1 billion acquisition of Big Data player Endeca, Oracle announced plans to acquire RightNow Technologies for $1.43 billion. RightNow Technologies delivers a cloud based technology platform that enables enterprises to deliver enhanced customer experiences with a product via the web, social media and call centers. The RightNow Technologies “Contact Center” platform empowers service representatives with data and solution options for customers calling with questions or complaints. Similarly, the RightNow Technologies web solution empowers companies to optimize the web experience of their customers to optimize conversions and obtain optimal web support. The Boston based company’s Social Experience offering enables enterprises to monitor and refine their branding on Facebook and other social media sites.
The deal represents Oracle’s largest acquisition since Sun Microsystems in 2010 for $7.4 billion. Oracle’s acquisition of RightNow Technologies consolidates its emerging public cloud offering and positions it to compete squarely against Salesforce.com, the market leader in sales management technology that leverages cloud based solutions. In September, Gartner positioned RightNow Technologies within the leader quadrant of its Magic Quadrant for CRM Web Customer Service.
On Tuesday, Oracle announced plans to acquire Big Data player Endeca just weeks after unveiling its Big Data appliance featuring Apache Hadoop and an Oracle NoSQL Database. Endeca’s proprietary MDEX technology powers two products: (1) Endeca InFront; and (2) Endeca Latitude. Endeca InFront enables users to understand customer trends and histories by examining online pages viewed, search terms and conversion rates. Endeca Latitude delivers a business intelligence platform for running analytics on structured and unstructured data.
According to Endeca’s website, Endeca Latitude claims the following differentiators from traditional BI solutions:
• No Data Left Behind:
Endeca Latitude incorporates a range of structured and unstructured data including unstructured data from web searches and Facebook and Twitter feeds in addition to traditional, relationally structured data.
• Consumer Ease of Use
Whereas traditional BI is based around reports and dashboards, Latitude’s analytics are delivered through interactive, web-based applications that provide a greater range of user drill-down and customization options.
• Agile Delivery
Endeca Latitude claims faster customization of its product to enterprise requriements than that of its competitors Autonomy and Attivio. Moreover, Endeca Latitude allows for iterative refinement of its analytics through its interactive application that enables enhanced collaboration between technology and business stakeholders.
One of the distinctive features of Endeca’s MDEX analytics engine is its lack of a data schema. Instead of a predefined data model, MDEX leverages a Faceted Data Model in which the schema emerges and morphs in relation to the characteristics of the data. Endeca InFront will be integrated with the Oracle ATG commerce engine to deliver analytics that improve online customer experience and conversion rates. Endeca Latitude will take its place alongside Oracle’s suite of BI tools and its forthcoming Big Data Appliance to analyze massive amounts of structured and unstructured data.
According to a June press release, Endeca “was used to power one of the largest eDiscovery clusters in the world exceeding 20 billion objects for interactive discovery – comparable in size to leading web search indexes of a few years ago.” The company’s customers include IBM, IEEE, Toyota, Ford, Walmart, The Home Depot and The U.S. Department of Justice out of a total of 600. Oracle did not disclose the terms of the acquisition of the Cambridge, Massachusetts based company although GigaOm reports that Endeca took in $65 million in venture capital over the course of four capital raises. The acquisition is expected to be completed by the end of 2011.
SGI and Cloudera today announced a reseller partnership whereby SGI will sell pre-configured Hadoop clusters of hardware and software in addition to technical support. Under the terms of the agreement, SGI will distribute Cloudera’s Apache Hadoop (CDH) alongside its rackable servers and provide level 1 technical support, while Cloudera will provide level 2 and level 3 technical support. SGI already claims a history of deploying Hadoop servers dating back to Hadoop’s earliest days and expects to leverage its existing relationships with customers in the government and financial sectors. SGI’s VP of Product Marketing, Bill Mannel, noted that “SGI has been successfully deploying Hadoop customer installations of up to 40,000 nodes and individual Hadoop clusters of up to 4,000 nodes for a number of years now.” 40,000 nodes per customer installation and 4,000 nodes per cluster represent the upper bound of Hadoop cluster size at Yahoo! and similar enterprise level installations. Mannel elaborated on SGI’s experience with large Hadoop installations by commenting: “This benchmark, our growing presence, and our role in the Hadoop ecosystem, reflect our ongoing commitment to pushing the bar on performance and driving relationships that benefit our customers. As they wrestle with bigger and more complex data challenges every day they can trust SGI to deliver complete Hadoop solutions based on years of experience.”
SGI’s distribution of Hadoop is expected to target customers that would like an enterprise level installation without dedicating in house talent to the deployment. Hadoop is an disruptive open source technology that provides a framework for managing massive volumes of structured and unstructured data. Hadoop provides the data infrastructure for Facebook, LinkedIn and Twitter and has recently gained attention in the wake of recent announcements by Oracle and Microsoft about entering the Big Data space by leveraging Hadoop technology.
The battle for market share in the big data space is officially underway, with passion. At last week’s Professional Association for SQL Server Summit (PASS), Microsoft announced plans to develop a platform for big data processing and analytics based on Hadoop, the open source software framework that operates under an Apache license. Microsoft’s announcement comes roughly ten days after Oracle’s unveiling of its Big Data Appliance that provides enterprise level capabilities to process structured and unstructured data.
Key features of Oracle’s Big Data Appliance include the following:
–Oracle NoSQL Database Enterprise Edition
–Oracle Data Integrator Application Adapter for Hadoop
–Oracle Loader for Hadoop
–Open source distribution of R
–Oracle’s Exadata x86 clusters (Oracle Exadata Database Machine, Oracle Exalytics Business Intelligence Machine)
Oracle’s hardware supports the Oracle 11g R2 database alongside Oracle’s Red Hat Enterprise Linux version and virtualization based on the Xen hypervisor. The company’s announcement of its plans to leverage a NoSQL database represented an abrupt about face of an earlier Oracle position that discredited the significance of NoSQL. In May, Oracle published a whitepaper Debunking the NoSQL Hype that downplayed the enterprise level capability of NoSQL deployments.
Microsoft’s forthcoming Big Data platform features the following:
–Hadoop for Windows Server and Azure
–Hadoop connectors for SQL Server and SQL Parallel Data Warehouse
–Hive ODBC drivers for users of Microsoft Business Intelligence applications
Microsoft revealed a strategic partnership with Yahoo spinoff Hortonworks to integrate Hadoop with Windows Server and Windows Azure. Microsoft’s decision not to leverage NoSQL and use instead a Windows based version of Hadoop for SQL Server 2012 constitutes the key difference between Microsoft and Oracle’s Big Data platforms. The entry of Microsoft and Oracle into the Big Data space suggests that the market is ready to explode as government and private sector agencies increasingly find value in unlocking business value from unstructured data such as emails, log files, twitter feeds and text-centered data. IBM and EMC hold the early market share lead but competition is set to intensify, particularly given the recent affirmation handed to NoSQL by tech giant Oracle.
This week, Platform as a Service vendor Heroku added yet another language to its growing “polyglot platform.” Heroku now supports Scala, the Java virtual machine language that combines objected oriented and functional programming. Heroku began as a Ruby on Rails Platform but recently followed suit upon its August announcement to support Java by adding support for Python. Heroku’s Cedar stack release now supports the following languages: Ruby, Node.js, Clojure, Java, Python, PHP and Scala.
In September, Heroku announced a partnership with Facebook that allows Facebook developers to directly launch Facebook applications by selecting Heroku as an external provider, and then provisioning and launching the application from within Facebook’s development interface. Within twenty four hours of Facebook revealing its deployment of Timeline and a host of other features, Heroku reported the deployment of 33,800 Facebook applications, amounting to a rate of over 20 Heroku Facebook applications per minute.
Heroku’s rapid transition to a progressively multilingual platform illustrates the way in which Platform as a Service vendors are using multilingual support as a way of keeping up with the increasingly dominant IaaS space. PaaS vendor Engine Yard recently announced support for JRuby subsequent to its acquisition of the PHP platform Orchestra, to complement its Ruby on Rails platform.
Given all of the hype about OpenStack, Red Hat and Amazon Web Services, PaaS vendors may well be coming to the realization that the best way to compete in the enterprise space is to empower developers to deploy applications in as many languages as possible. Google App Engine, Microsoft Azure, VMware’s Cloud Foundry and AppFog all embrace more than one language and are increasingly following the market trend to diversify their linguistic offerings to the development community.
Heroku was acquired by Salesforce.com in January 2011 for $250 million.