San Francisco | April 26th, 2017 – SQLstream, the leading streaming analytics and data wrangling technology provider, today announced their participation in the Kafka Summit New York. SQLstream will showcase SQLstream Blaze, the only SQL-based stream processing technology that can add streaming analytics and real-time data wrangling capabilities to existing architectures already employing Apache Kafka™—and is now taking meeting requests.
Held at the New York Hilton Midtown on May 8th, Kafka Summit is the premier streaming systems event for data engineers and developers, and brings the Apache Kafka™ community together to share best practices, write code and discuss the future of streaming technologies.
At the SQLstream booth, our team will demo how Kafka users can employ SQLstream Blaze to convert raw Kafka records into actionable business insight in minutes, automatically discovering, parsing and analyzing streaming data from all sources and in all formats—all in real time. With Kafka and Blaze, businesses can securely and cost-effectively benefit from:
- – A complete, distributed, SQL standards-compliant streaming data management system.
- – High-availability, fault-tolerant operations for applications and services that can be run and updated continuously, while data is in motion.
- – Intuitive interaction through real-time data wrangling that allows technical and non-technical users alike to go from raw data to deployed streaming applications in minutes.
- – High-performance parsing and analytics of streaming data, both structured and unstructured, from all formats and at rates of more than 1 million records per second per CPU core
- – Seamless integration with existing Big Data storage and enterprise systems.
- – True real-time dashboarding and push-based visualization.
“Kafka changed the face of Big Data by providing scalable, affordable, low-latency streaming data distribution and dissemination. Blaze builds on that and brings to the party the power of true SQL standard analytics, the productivity of real-time data wrangling and the highest performance available of any streaming analytics platform,” said Damian Black, CEO and co-Founder of SQLstream. “With Blaze, 5ms-latency streaming applications like real-time action can be conceived and deployed within minutes, while the system is processing millions of unstructured and semi-structured records per second. Blaze disrupts real-time data processing in much the same way spreadsheets disrupted financial processing: with power, simplicity and unmatched elegance.”
SQLstream delivers the only SQL-based stream processing platform for real-time ingestion, analytics, and action. Global enterprises use SQLstream to build streaming applications in minutes, that keep operations running at optimal efficiency, protect systems from security threats, and support real-time customer engagement.
With Blaze, companies can go from raw data to insights easily, continuously, and in real time, thus staying relevant and competitive in a fast-changing business environment. SQLstream is based in San Francisco, California.
For more information, join our live event at 10AM PST on April 27th: Your One-stop IoT Shop: Using Kafka and Blaze to Process Your Streaming IoT Data.