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Syncsort Rolls Out Mainframe Performance Solution


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Syncsort, a provider of big data software, announced new software innovations designed to help customers meet the challenges of processing more data on the IBM mainframe, while also reducing MIPS usage and costs.

The latest release of Syncsort’s flagship mainframe software product  Syncsort MFX for z/OS – exploits IBM’s zHPF architecture, which is the most recent advance in optimizing mainframe I/O for storage devices. 

“Even as mainframes evolve to play a key role as the back-end transactional platform for big data, mobile, and Internet of Things use cases, organizations face greater challenges in achieving their performance and expense goals,” said Harvey Tessler, founder of Syncsort. “Our new products exploit every significant hardware and operating system development IBM has delivered to help customers process more data in less time while reducing expensive processing costs.”

The vendor is also releasing a new solution suite built on Syncsort MFX, called Syncsort ZPSaver, which includes utilities that enable IT organizations to achieve tremendous cost savings and meet performance SLAs by offloading both Copy and SMS Compression workloads to zIIP processors, reducing CPU time for those tasks by up to 90%, the vendor says.

Syncsort says its new solutions also enable organizations to calibrate trade-offs between CPU utilization and performance on the mainframe so they can pay less for CPU cycles while delivering better performance levels to their users.

More details are available at the Syncsort site.


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Syncsort, a provider of big data and mainframe software, has completed the acquisition of UK-based William Data Systems, a provider of advanced network monitoring and security software products for the IBM z Systems z/OS mainframe platform. According to Syncsort, because the mainframe is a high-volume transactional supercomputer, the networking and security data collected by the William Data product suite is particularly valuable to fast-growing big data and analytical platforms.

Posted February 18, 2015

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