SQLstream provides the power to create streaming Kafka & Kinesis applications with continuous SQL queries to discover, analyze and act on data in real time.
We are often asked about the advantages of using SQLstream Blaze with Kafka. Here’s our answer, as formulated by Damian Black, our CEO, during one of our recent webinars in our streaming series.
If you’re assembling a new stream computing system from scratch and are looking for best-of-breed solution from the start, SQLstream Blaze is the only architecture built from the ground up for complete streaming data processes.
Some clients are already doing stream analytics, but need performance improvements. Kafka makes it easy to plugin our capabilities to a streaming architecture and bring the processing speed up to 1million records per second per core.
Many of our customers begin with legacy store-then-query models, and are upgrading to a stream environment to save money. With Kafka as a connector, they can easily feed legacy and new data streams into SQLstream Blaze for processing.
Since Guavus SQLstream processes data at scale and Kafka processes messages at scale, the two technologies naturally complement each other. The resulting distributed data management architecture enables real-time processing for Fast & Big Data.
Streaming SQL applications can to be distributed across multiple processing cores in a server, multiple servers in a data center, and multiple data centers in a Cloud.
Seamless integration with existing machine data collection and enterprise systems.