SQLstream Releases SQLstream Blaze 5.2 with Machine Learning Sup - Erie News Now | WICU & WSEE in Erie, PA

SQLstream Releases SQLstream Blaze 5.2 with Machine Learning Support at Kafka Summit in San Francisco

Posted:

SQLstream Blaze, the technology bringing Streaming Analytics and data wrangling to Apache Kafka™, now offers real-time declarative predictions with continuous machine learning.

San Francisco, CA, August 24, 2017 --(PR.com)-- SQLstream, the leading stream analytics and data wrangling technology provider, today announced the availability of SQLstream Blaze 5.2 at the Kafka Summit in San Francisco. SQLstream Blaze is the only technology bringing SQL-based streaming analytics and real-time data wrangling capabilities to existing Apache Kafka™ implementations. The new 5.2 version supports Apache SystemML, enabling Kafka users to add real-time declarative predictions with continuous machine learning.

Held at the San Francisco Hilton Union Square on August 28th, 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, their team will show how analysts and developers can go from raw data to complete apps in minutes using SQLstream Blaze 5.2, automatically discovering data formats, parsing, and making intelligent analytics recommendations while integrating all sources and formats of data in real time—and can now accept requests for meetings.

SQLstream Blaze 5.2 is a complete, distributed, SQL standards-compliant streaming data management system, capable of:

- High-availability, fault-tolerant operations for applications and services that can be run and updated continuously with the data still flowing.
- 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 exceeding 1 million records per second per CPU core and in-server latency as low as 1 millisecond or less.
- Seamless integration with existing Big Data storage and enterprise systems.
- True real-time dashboarding and push-based visualization.
- Providing real-time predictive analytics with models that are continuously refined and reloaded without ever interrupting the data pipeline.

“Kafka is changing the Big Data landscape through scalable, affordable, low-latency streaming data distribution and dissemination. To it, SQLstream Blaze brings the industry-leading power of true SQL-standard streaming analytics, the amazing productivity of real-time data wrangling, the highest performance available of any streaming analytics platform, and now integrated machine learning capabilities,” said Damian Black, CEO and co-Founder of SQLstream. “SQLstream Blaze disrupts real-time data processing in much the same way spreadsheets disrupted financial processing: with power, simplicity and unmatched elegance, plus performance that is off the charts.”

About SQLstream

SQLstream delivers the only true standards-based SQL stream processing platform for real-time data wrangling, analytics, and action. Global enterprises use SQLstream Blaze to build streaming applications in minutes to keep operations running at optimal efficiency, protect systems from security threats, and support real-time customer engagement. With SQLstream Blaze, companies can go from raw data to actionable insights easily, continuously, and in real time, and compete effectively in the fast-changing business world. In 2016, AWS announced that Amazon Kinesis Analytics is based in part on technology components licensed from SQLstream. SQLstream is headquartered in San Francisco, California.

For more information, download SQLstream Blaze.

Contact Information:
Sqlstream, Inc
Dana Sandu
877-571-5775
Contact via Email
www.sqlstream.com

Read the full story here: http://www.pr.com/press-release/727772

Press Release Distributed by PR.com



Information contained on this page is provided by an independent third-party content provider. Frankly and this Site make no warranties or representations in connection therewith. If you are affiliated with this page and would like it removed please contact pressreleases@franklyinc.com

Powered by Frankly
3514 State St. Erie, PA 16508
Newsroom: (814) 454-8812
Business offices: (814) 454-5201
WICU FCC Filing
WSEE FCC Filing
Share:
Share Stories
Submit your stories to our site!
Share Photos
Share your photos in our community galleries
RSS Feeds
All content © Copyright 2000 - 2017 WICU. All Rights Reserved.
For more information on this site, please read our Privacy Policy and Terms of Service.
                   WICU/WSEE - 3514 State Street Erie, PA 16508 - (814) 454-5201 - info@wicu12.com