SQLstream Blaze gives us the real-time performance required to deliver call analytics at big data scale.
San Francisco, CA (PRWEB) September 30, 2015
SQLstream Inc., provider of the leading platform for data stream processing, today announced that ECaTS has selected SQLstream Blaze as the real-time streaming analytics engine for its 911 Emergency Call Tracking System. With SQLstream Blaze, ECaTS delivers real-time analytics with second by second updates for 911 calls and network performance, enabling emergency call center managers to prioritize operations and resolve workload issues based on timely, actionable intelligence.
ECaTS is a cloud-based SaaS analytics platform for Public Safety analytics, providing Public Safety officials with actionable insights into call processing, call delivery/network performance (ESINet), and overall wireless system health and availability. SQLstream Blaze processes in real-time the 911 call data collected by ECaTS sensors, delivering streaming analytics to any number of ECaTS presentation dashboards. A single system scales to handle millions of calls per day, offering state, county and even country-wide operations on a single platform.
"SQLstream Blaze gives us the real-time performance required to deliver call analytics at big data scale across any number of PSAPs, counties and states," said Chris Duxler, ECaTS Operations Director. “For our customers this means real-time actionable insights into 911 calls and call processing for improved scheduling and incident management."
ECaTS with SQLstream Blaze enables smarter responses to 911 calls with improved decision-making for efficient allocation, prioritization and scheduling of resources. Managers and support staff in the operations centers are now able to assess incident severity in real-time based on call type and volume by geographical area, address workload issues immediately and prevent escalations by utilizing real-time call status metrics from live dashboards that are updated every second, and identify network performance and service-impacting issues in real-time and assess the impact on 9-1-1 call handling.
"We believed from the outset that a real-time platform capable of supporting mission-critical, operational systems was essential and that standards such as SQL were key to that vision," said Damian Black, CEO of SQLstream. “The fact that ECaTS with SQLstream Blaze can be deployed in a matter of hours and now plays a central role in 9-1-1 operations is exciting and offers important validation of our software."
About Direct Technology and ECaTS
ECaTS from Direct Technology is Software as a Service that confronts the challenges of Big Data within the Public Safety industry, processing hundreds of thousands of calls per day and delivering real-time actionable insights for individual Public Safety Access Points (PSAPs) on local, organizational and statewide levels. The implementation of standards and measurable goals across multiple jurisdictions with a focus on full accountability has quickly become a critical industry need. As counties and states plan and make technological transitions such as PSAP consolidation through hosted environments and Next Generation network deployments, ECaTS is ready with real-time Big Data solutions to emerging challenges. ECaTS makes management of Public Safety services simpler. Learn more at http://www.ecats911.com or follow us on Twitter (@ecats911).
SQLstream Inc. is the provider of the leading big data software platform for data stream processing. Built on an ANSI SQL-compliant stream processing engine, the SQLstream Blaze software suite enables enterprises to act immediately on actionable insights from their data in motion through real-time analytics, continuous integration and automated actions. Blaze eliminates the complexity, time, and cost of real-time performance, and enables enterprises to deliver a better customer experience, increase revenue, improve operational efficiency, and eliminate fraud. SQLstream is based in San Francisco, California. For more information, visit http://www.sqlstream.com, follow us on Twitter (@sqlstream), or visit sqlstream.com/stream-processing for a full tutorial on stream processing with SQL.