Splunk and Syncsort Alliance Delivers Machine Data Insights from Mainframes
June 23, 2014
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Splunk and Syncsort announced a technical alliance to unlock insights from machine data generated by mainframe systems, a critical and major source of corporate data.

The alliance enables organizations to search, analyze and visualize massive streams of mainframe data, with the simplicity, scalability and efficiency of Splunk® Enterprise and Splunk Cloud. This alliance also enables joint customers to correlate mainframe data with data across the enterprise to gain broader Operational Intelligence for the organization.

Joint customers include top Fortune 500 telcos, retailers, insurance, healthcare and financial organizations, which rely heavily on mainframes for critical business operations and have long been challenged to leverage mainframe data for valuable business insights. The alliance between Syncsort and Splunk solves this problem and enables our joint customers to get immediate visibility into mainframe data for the first time. Syncsort makes it simple to collect, transform and forward mainframe log data, such as Systems Management Facilities (SMF) records and mainframe application data into Splunk Enterprise and Splunk Cloud platforms for correlation and analysis.

“Mainframes still play a key role in many organizations’ IT infrastructures and produce a substantial amount of corporate data,” said Sanjay Mehta, VP of Product Marketing, Splunk. “Our alliance with Syncsort enables organizations to more easily monitor and quickly identify potential security risks, operational or system failures, and customer financial transaction activities from all systems.”

“Many organizations rely on Big Iron for critical business applications and need to unlock operational intelligence hidden in mainframe records to gain valuable insights into the customer experience, security and other key business metrics,” said Bryan Ashley, VP, Business Development, Syncsort. “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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