Teradata, the doyen of the Big Data set, has got a new purpose-built appliance for SAS high-performance analytics that uses an in-memory approach for hyper-fast results.
In other words, it distributes complex analytics in parallel across a vast pool of memory looking for patterns in large volumes of data.
It reportedly whittled what would normally have been a 167-hour project in financial risk analysis at some Wall Street bank or another down to 84 seconds.
Teradata claims other customers can expect as much and expects it to “kick competitive butt.” It claims IBM, Oracle and SAP, which have their own in-memory systems, “lack the foundational analytics.”