Aster's SQL-MapReduce®
Deriving Deep Insights from Big Datasets

With SQL-MapReduce® developers can write rich analytic and transformation functions using MapReduce and easily invoke them through a standard SQL interface.  This allows developers to harness the parallel processing power of MapReduce while managing data in Aster Database, a massively parallel (MPP) relational database for information exploration, discovery and ultra-fast analytics.


Register for this complimentary whitepaper to learn how Aster's SQL-MapReduce® provides

  • Ease of development with the out-of-the-box data management capabilities of teh Aster Database.

  • High Performance through network-optimized data placement, data transport, and query planning for performance and scalability.

  • Ease of management with transparent recovery and load balancing of data in the event of transient or permanent node failures.






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