The move resulted in simplifying operations and reducing build and deployment times.
IBM’s DataWorks will now benefit from Spark’s scalability, distributed programming model, and data source connectivity, as well as improvements delivered to it by the project’s contributors.
IBM Analytics for Apache Spark integrates with open source and third party tools on the company’s Bluemix cloud platform. Developers can infuse analytics into their apps in real-time.
IBM Cloud Data Services general manager Derek Schoettle said: "The availability of IBM Analytics for Apache Spark simplifies the process of getting started with Spark, letting data professionals focus on building apps instead of administering Spark clusters or managing operations.
"With integrations to key IBM Cloud Data Services, it’s easy for clients to build a complete solution on Bluemix and draw more insight from more data with less work."
IBM has made more than 60 contributions to the Spark project, including Machine Learning and SQL, since June this year.
This article is from the CBROnline archive: some formatting and images may not be present.
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