Mountain View, CA, April 04, 2016 (GLOBE NEWSWIRE) --
WSO2 today announced that it has been cited by Forrester Research, Inc., as a strong performer in The Forrester Wave™: Big Data Streaming Analytics, Q1 2016 report1 published, March 30, 2016. The report’s findings were based on a 26-criteria evaluation of the 15 companies that Forrester has identified as leading vendors in the streaming analytics market. The report is available from Forrester at https://www.forrester.com/report/The+Forrester+Wave+Big+Data+Streaming+Analytics+Q1+2016/-/E-RES129023 (subscription or purchase required for access).
The Forrester report states, “Streaming analytics are critical to building contextual insights for Internet of Things, mobile, Web, and enterprise applications.” The report goes on to observe that, “Application development and delivery (AD&D) professionals should not dismiss streaming analytics as a form of ‘traditional analytics’ used for postmortem analysis. Far from it—streaming analytics analyzes data right now, when it can be analyzed and put to good use to make applications of all kinds contextual and smarter.”
Report’s Evaluation of WSO2 Complex Event Processor
In its evaluation of WSO2, which was based on WSO2 Complex Event Processor 4.0, the Forrester report notes, “WSO2 is an open source middleware provider that includes a full spectrum of architected-as-one components such as application servers, message brokers, enterprise service bus, and many others. Its streaming analytics solution follows the complex event processor architectural approach, so it provides very low-latency analytics. Enterprises that already use WSO2 middleware can add CEP seamlessly. Enterprises looking for a full middleware stack that includes streaming analytics will find a place for WSO2 on their shortlist as well.”
“The huge amount of data generated from the Internet of Things, mobile devices, and Web apps hold valuable keys to serving customers better, creating new business and revenue models, driving greater efficiency, and ensuring robust security,” said Dr. Sanjiva Weerawarana, WSO2 founder, CEO and chief architect. “We are excited to be identified by Forrester as a strong performer in its Big Data Streaming Analytics Wave report. We believe that it validates our commitment to democratizing access to real-time insights by combining high performance and a small footprint for analytics at the edge with our open source WSO2 CEP product.”
About WSO2 CEP
WSO2 Complex Event Processor 4.0 provides real-time analytics to help identify the most meaningful events and patterns from multiple data sources, analyze their impacts, and act on them in real time. It is available separately and as part of WSO2 Data Analytics Server (WSO2 DAS) 3.0, which combines into one integrated platform real-time and batch analysis of data with predictive analytics via machine learning to support the multiple demands of Internet of Things solutions, as well as mobile and Web apps. Both WSO2 CEP and WSO2 DAS are fully open source under the Apache License 2.0, and they can run directly on servers, on top of WSO2 Private PaaS, or on any public cloud.
About WSO2
WSO2 empowers enterprises to build connected businesses and accelerate their pace of innovation with the industry’s only lean, fully integrated, and 100% open source enterprise middleware platform. Using WSO2’s platform, enterprises have all the functionality to build, integrate, manage, secure and analyze their APIs, applications, Web services, and microservices—on-premises, in the cloud, on mobile devices, and across the Internet of Things. Leading enterprise customers worldwide rely on WSO2’s platform and its robust performance and governance for their mission-critical applications. Today, these businesses represent nearly every sector: health, financial, retail, logistics, manufacturing, travel, technology, telecom and more. Visit http://wso2.com to learn more, or check out the WSO2 community on the WSO2 Blog, Twitter, LinkedIn, and Facebook.
1Forrester Research, Inc. “The Forrester Wave™: Big Data Streaming Analytics, Q1 2016,” by Mike Gualtieri and Rowan Curran with Holger Kisker, Ph.D., Emily Miller, and Matthew Izzi, March 30, 2016.
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