StreamSets is helping leading organizations like GlaxoSmithKline, Cox Automotive, and Availity rethink data movement. Drawing on principals gleaned from DevOps, each is using the StreamSets DataOps platform to make the shift from point-in-time data integration, to real-time streaming data ingestion leading to faster time to value from their big data investments.

In this On The Radar research note, Ovum takes a closer look at the StreamSets platform with some useful insight into how it works and how it's helping transform data movement.


About StreamSets

Big data doesn't need to be hard. Whether using Apache Hadoop, Spark or Kafka, leading companies are leveraging StreamSets to streamline their big data journey and deliver success. StreamSets focuses on simplifying the process of building, executing and operating dataflow pipelines. The StreamSets platform combines award-winning open source software for the development of any-to-any dataflows that uniquely handle data drift with a cloud-native control plane that centralizes building, executing and operating dataflow topologies at enterprise scale. Whether you're just starting with big data, or consider yourself an expert, StreamSets can help extend the value of your deployment to deliver greater results for your business.
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