Many large enterprises rely on mainframes because of their unmatched throughput, security, and resiliency, but many data analysts and scientists face challenges easily accessing mainframe data 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, Vice President Product Growth. “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
  

re:Invent attendees can learn more about StreamSets Mainframe Collector by visiting booth #3952. All others interested can visit www.StreamSets.com and join StreamSets and Software AG for a webinar with Bloor Research, Mainframe Data for Cloud Analytics, on November 30th at 11:00am EST.

About StreamSets

At StreamSets, our mission is to make data engineering teams wildly successful. The StreamSets DataOps Platform empowers engineers to build and run the smart data pipelines needed to power DataOps across hybrid and multi-cloud architectures. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, AI/ML and smart applications. With StreamSets, data engineers spend less time fixing and more time doing. To learn more, visit www.streamsets.com and follow us on LinkedIn.