SAN FRANCISCO, CA, November 14, 2013 -- SQLstream Inc., the streaming Big Data platform for real-time
, today announced StreamApps, fast-start templates for real-time streaming machine Big Data applications. Each StreamApp is a library of components for a specific operational business
process. In a Big Data industry typified by a lack of standards and high development costs, StreamApps takes SQLstream's standards-based SQL platform for streaming operational intelligence to the next level of usability and enterprise
"Many organizations want to deploy real-time streaming data applications but are concerned about the costs and skills required,” said Damian Black, SQLstream CEO. "The SQLstream approach is to simplify Big Data by using standards such as SQL, but also to give the option to employ a full solution platform such as SQLstream s-Server, or to benefit from the fast deployment option offered by StreamApps.”
The announcement of StreamApps is supported by the release of the latest SQLstream StreamApp for CDR/IPDR Analytics. In the Telecommunications industry Call Detail Records (CDR) and IP Detail Records (IPDR) capture information such as call duration, location and quality for every traditional voice and VoIP call. Processing CDR and IPDR records in real-time offers real-time rating, customer experience monitoring, fraud detection and real-time policy control, enabling service providers to improve overall call quality, optimize call rating, improve operational efficiency and reduce fraudulent network usage. The latest release adds support for Sonus equipment and SIP trunking.
StreamApps are built on SQLstream’s core s-Server streaming analytics and machine data integration platform, and enable organizations to realize immediate value from their streaming log file, sensor, device and network data. This new concept in Big Data solutions offers both rapid time to revenue and application flexibility, with the lowest Total Cost of Big Data Performance of any Big Data technology. Each StreamApp contains a set of standard components, typically including:
• Log, equipment and device adapters for real-time data collection,
• A package of streaming analytics,
• Streaming dashboards,
• General components such as data conditioning, filtering and streaming aggregation.
StreamApps can be developed by SQLstream and its accredited partners. The roadmap for StreamApps availability addresses all major industries, including additional telecommunications StreamApps, intelligent transportation, Smart City platforms and cybersecurity applications.
Visit http://www.sqlstream.com/products/streamapps/ for more information.
SQLstream, Inc. (www.sqlstream.com) empowers businesses to perform real-time analytics and extract operational intelligence from unstructured log file, sensor and other machine-generated Big Data. The SQLstream streaming Big Data engine is a distributed, 100% SQL platform for real-time data management and operational intelligence applications. SQLstream offers a full range of integration adapters, including log files, support for Hadoop and other enterprise data management platforms. SQLstream is the recipient of leading industry awards, including the Ventana Research Technology Innovation Award for IT Analytics and Performance. SQLstream is based in San Francisco, CA.