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StreamSets Control Hub Brings DevOps Sensibilities to Dataflows

By   /  December 18, 2017  /  No Comments

by Angela Guess

According to a recent press release, “StreamSets Inc., provider of the industry’s first enterprise data operations platform, today announced immediate availability of StreamSets Control Hub, engineered to streamline the development and operational management of many-to-many dataflows. Available in StreamSets Enterprise Edition, StreamSets Control Hub adds DevOps sensibilities to data movement architectures. It offers centralized collaborative design of dataflow topologies and enables testing, provisioning and elastically scalable execution of dataflows anywhere — on premises, on edge or in the cloud — via the open source StreamSets Data Collector (SDC) and recently announced SDC Edge.”

The release goes on, “StreamSets Control Hub addresses the challenges caused by the evolution of applications toward complex, time-sensitive data movement, where analytics are performed every step of the way. These dataflow architectures demand the same disciplined approach to design and provisioning that enterprises apply to the applications themselves. Traditional hand-coded and ad-hoc approaches to data pipelines slow delivery of data-driven applications, drive up development and maintenance costs, and make application performance fragile when changes occur to the data.”

Matt Aslett, research director of Data Platforms and Analytics at 451 Research, commented, “As enterprises evolve to adopt continuous deployment and integration (CI/CD) practices, data movement architectures must keep pace, adjusting frequently to support new data sources, compute platforms and analytic steps that occur throughout the dataflow… StreamSets is well-positioned to take advantage of interest in continuous data integration as an enabler for real-time analytics by providing a central point for designing shareable and reusable dataflow patterns, and managing continual execution of data pipelines.”

Read more at Marketwired.

Photo credit: StreamSets

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