Splunk teams with Syncsort for mainframe machine data

The companies say the partnership will enable the visualization, correlation and analysis of streams of mainframe data.

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Splunk, a big data player that specializes in machine data, announced Monday a technical partnership with the big data software player Syncsort that is aimed at unlocking machine data generated by mainframe systems.

Syncsort's enterprise software is designed to help companies offload inefficient legacy data workloads, optimize cloud data, and speed data warehouse and mainframe processing, as mainframes are still used by many organizations within their IT infrastructures.

Using Splunk Enterprise and Splunk Cloud, the partnership will enable the visualization, correlation and analysis of streams of data generated from the mainframe. 

According to Sanjay Mehta, vice president of product marketing for Splunk, the alliance with Syncsort will also help joint customers monitor and identify potential security risks, operational or system failures, and customer financial transaction activities from all systems.

Syncsort's Bryan Ashley, the VP of business development, added in a statement:

"This alliance will allow customers to use Syncsort’s powerful engine to efficiently collect and transform targeted mainframe data, without disrupting the mainframe operating environment, and load it into Splunk Enterprise or Splunk Cloud for real-time analytics."



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