Enhance, Extend, and Optimize Data Center Assets

DataKinetics provides a spectrum of high value solutions and technology which optimize transaction performance, and reduce ongoing IT costs, while leveraging existing systems and applications.

• tableBASE - manages mainframe-based in-memory tables for use in transaction intense corporate environments. It improves mainframe performance, makes mainframe data more accessible and available, reduces the need for upgrades, and greatly simplifies mainframe business rules processing.
  
  
• tableEXTENZ - delivers new capabilities for solving the problems that Data Centers are facing today - improved DB2 access for new Java applications, improved workflow and Sysplex operation, just to name a few.
  
  
• Java to DB2 Optimizer - a new product supported by tableEXTENZ, Java to DB2 Optimizer is one of the only products available that allows mainframe operators to control mainframe costs while distributed Java applications access more and more DB2 data.
  
  
• VTS Manager - allows for instant mainframe data availability on application startup or IPL. Also provides powerful change control capabilities for in-memory tables.
  
  
• VTS - allows mainframe-based applications to share in-memory corporate data, ensuring efficient use of system resources.
  
  
• tableBASE interfaces- default batch interface can optionally be supplemented with available CICS and IMS interfaces.
  
  
• tablesONLINE- is a flexible, interactive front-end for tableBASE that allows end users to create and process in-memory data tables from within the CICS and ISPF environments.
  
  
• SQData Data Integration - a versatile toolset that provides data optimization and integration solutions (such as data replication, changed data capture enhancement for ETL, and much more) for organizations with challenges dispersing enterprise data over large distributed systems.
  
  
• netTABLES - manages in-memory tables on distributed systems throughout the corporate network. Puts corporate data on the same platform as the distributed applications running on them. It makes corporate data more accessible and available, reducing disk I/O and network latency.