StreamSets announced the launch of StreamSets Mainframe Collector, a new solution that helps companies unlock data from the depths of their mainframe systems for cloud analytics.
StreamSets Mainframe Collector connects to mainframe data sources through a lightweight listener to avoid high additional costs and presents data in a relational format, allowing users to easily find, understand and include the data in their cloud analytics efforts.
“Our latest solution provides an easy, secure, and cost-effective way to access mainframe data for cloud analytics,” said Mike Pickett, VP Product Growth, StreamSets. “It provides a true solution for line of business data analysts & scientists who need to quickly understand what data is available to them on the mainframe and data engineers & mainframe operators who need to support data access requests while maintaining mainframe security and performance.”
Since mainframe data plays a critical role in business operations, security is often a high priority. StreamSets’ latest solution adapts to and extends existing mainframe security frameworks with no changes required.
Additional benefits include:
- Fast and easy installation and setup in hours vs. weeks
- Easy and intuitive data access presented in relational format and queried with SQL
- Reliable delivery to modern data platforms including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Snowflake and DatabricksDelivered at a lower cost and with less effort than alternative solutions
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