New Features Include Data Drift Synchronization, Change Data Capture and Dataflow Triggers. January 4, 2017SAN FRANCISCO — Jan. 4, 2017 — StreamSets Inc., a provider of innovative data in motion middleware, today announced the addition of several powerful capabilities to its award-winning StreamSets Data Collector™ software for building and operating modern dataflows. These capabilities help
September 13, 2016SAN FRANCISCO – Sept. 13, 2016 – StreamSets today announced StreamSets Dataflow Performance Manager (DPM™), the first solution to manage operations of a company’s end-to-end dataflows within a single pane of glass. Enterprises can now map, measure and master dataflow topologies that support key IT initiatives, such as Data Lakes, Customer 360, IoT
StreamSets Recognized as Innovator in Data Flow Performance Management August 18, 2016SAN FRANCISCO — August 18, 2016 — StreamSets, the company that delivers performance management for data flows, today announced that it has been named to Startup50’s Big 50-2016 report, Jeff Vance’s annual roundup of the 50 top tech startups to watch in the coming
Kryptos Logic and Dataffirm Among Partners Benefiting From New Program August 17, 2016SAN FRANCISCO — Aug 17, 2016 — StreamSets, the dataflow performance management company, today announced the StreamSets Embed Program, which provides support and services to technology companies needing to embed world-class data ingestion capabilities into their products and services. The Embed Program includes two
Nearly 90% Report Polluting Their Data Stores; Highlights the Need for a Data Flow Operations Mindset June 22, 2016SAN FRANCISCO — June 22, 2016 — StreamSets, the company that delivers performance management for data flows, today announced results from a global survey of more than 300 data management professionals conducted by independent research firm Dimensional
"StreamSets is another company that is tackling the challenges of managing data in motion. More specifically, the startup develops software to guard against the insidious problem of "data drift" – the unpredictable mutations that data can undergo at the source and create problems when applications use that data."
"Data isn’t what it used to be. IT data management and monitoring approaches were built based on the premise that data was relatively static and slow changing. The era of digital transformation has turned this notion upside down."
"Developing a data strategy for the digital age can seem terrifying. Oozing streams of data, haunting ghosts of outdated tools, the stupefying fear of making a million-dollar mistake. This Halloween season, or strategizing season, don’t let big data horror stories scare you into inaction."