SAN FRANCISCO, CA, May 29, 2014 -- SQLstream Inc., the leading standards-based stream processing software
company, today announced support for Kafka, Apache’s messaging framework. Kafka can be used for high-performance distributed deployments of the award-winning SQLstream Blaze stream processing software, and for real-time
integration of SQLstream Blaze with Hadoop and other operational systems.
Kafka is an open-source, real-time publish-subscribe messaging framework with the capability to support durable and resilient distributed stream processing applications. Kafka’s support for data stream partitioning over multiple servers offers SQLstream customers an additional resilient infrastructure option for their multi-server , distributed SQLstream Blaze deployments.
“Stream processors are now driving real-time mission critical systems where massive scalability is required and any loss of data or system downtime cannot be tolerated,” said Edan Kabatchnik, SQLstream’s SVP Products & Engineering. “This initiative enables our customers to deliver against their real-time performance and reliability requirements, and to consolidate their SQLstream Blaze and Hadoop deployments on the same messaging infrastructure.”
With native distributed stream processing capability, and existing support for Apache Storm, AMQP, and ZeroMQ options, SQLstream is able to tailor its distributed architecture support depending on a customer ’s preference and existing platforms. The result is resilient, distributed multi-server stream processing applications capable of processing time series machine data at rates of 1 million records per second per CPU core while generating real-time analytics with millisecond latency.
About SQLstream Blaze
Further information on SQLstream’s distributed stream processing architecture can be found at http://www.sqlstream.com/products/stream-processing-architecture/. The SQLstream Blaze stream processing suite is available to download and try for free at www.sqlstream.com/downloads.
SQLstream powers real-time smart services for the Internet of Things. SQLstream’s stream processing software suite, SQLstream Blaze, collects, analyzes and integrates sensor and other machine generated data in real-time, providing the real-time insight required to drive automated actions. SQLstream Blaze includes s-Server, the world’s fastest stream processor , and the only one built on standards-compliant streaming SQL. The product suite is complete with real-time dashboards, industry-specific application libraries, and a full range of data collection agents and adapters for Hadoop and other enterprise data management platforms. SQLstream is the recipient of leading industry awards, such as the Ventana Research Technology Innovation Award for IT Analytics and Performance. SQLstream is based in San Francisco, CA.