Syncsort Delivers Native Mainframe Hadoop, Spark Data
Syncsort simplifies mainframe big data access for enterprises seeking governance and compliance in Apache Hadoop and Apache Spark data.Syncsort, a provider of big data and mainframe software, has upgraded its DMX-h data integration software to enable enterprise organizations to work with mainframe data in Hadoop or Spark in its native format. Syncsort delivered the new capabilities because some of its large enterprise customers—particularly those in financial services, banking, insurance and health care—needed to maintain their mainframe data in its native format for compliance purposes, the company said. Tendu Yogurtcu, general manager of Syncsort's big data business, told eWEEK that while many of Syncsort's large enterprise customers want the scalability and cost benefits of Hadoop and Spark for their mainframe data, converting that data for the big data platforms presents compliance challenges because they are required to preserve the data in its original EBCDIC format. "With this announcement we are basically saying that many of our use cases, which are based on our collaboration with very large customers in financial services, banking and insurance, where regulatory compliance is very critical, need access to their mainframe data in native format," Yogurtcu said. "They want to get access to this mainframe data. However, changing the data format can cause governance and compliance issues. This new feature involves making Hadoop understand this EBCDIC encoded mainframe record format."
The mainframe data has to remain in mainframe format for audit purposes or for archival purposes, she said.