News

Talend Big Data Integration Platform Adds Storm Support with Hortonworks Agreement

• By David Ramel
• January 13, 2015

Talend today announced its Big Data integration platform now supports a preview version of Apache Storm as part of its partnership with enterprise Apache Hadoop vendor Hortonworks Inc.

Building on the original batch-processing capabilities of Hadoop, the Storm project is an analytics computation system for fast, real-time processing of large data streams.

"Storm in Hadoop helps capture new business opportunities with low-latency dashboards, security alerts, and operational enhancements integrated with other applications running in their Hadoop cluster," says the Web site of Hortonworks, which recently became the first major enterprise Hadoop distributor to go public through an initial public offering of stock.

Talend describes Storm as "ideal for ingesting streaming data that is changing rapidly, such as financial transactions, machine-sensor output, and Web click-streams, and enabling real-time responses that can have a massive impact on the bottom line."

The Talend 5.6 platform, which uses graphical tools and wizards to generate code to process data from diverse, multiple sources from within Hadoop, also supports the Apache Spark extension, which uses in-memory technology to improve upon the original MapReduce component of Hadoop. Talend 5.6, introduced last November, also supports Apache Kafka, a "fault-tolerant, publish-subscribe messaging system" that can be used with Storm for analyzing and rendering streaming data in real time.

"With faster data integration solutions such as Talend 5.6 and Apache Storm, users can run their analytics more quickly for real-time decision-making, helping them achieve competitive advantages that they just weren't able to do before," said Talend exec Ashley Stirrup in a statement. "For many businesses such as online retailers and financial services providers, the availability of high-quality data that can be immediately acted upon can be the difference between making a sale and losing a customer."