Tony Baer, Principal Analyst, Software – Information Management

The recently released Teradata 14.10 platform adds several features that one-up and surpass some of its newer analytic platform rivals. Highlights include dynamic tiering of hot data into memory, increased support for in-database analytics, better connectivity to Hadoop, and new optimizations for R implementation that fully exploit parallel processing.

Some of the enhancements, such as in-memory tiering, in-database analytic functions, and tighter Hadoop integration, are not necessarily unique to Teradata, but the implementations are. As for R scale-up, Teradata is uniquely applying MapReduce-like enhancements to enable R to better utilize the platform’s massively parallel architecture.

In sum, the enhancements are essential for maintaining Teradata’s premium positioning for scalability and performance for workloads that still require the service levels and data protections offered by the SQL environment.

Taking advantage of memory

This is an ongoing theme for all data platforms, both …