Pushing A Trillion Row Database With GPU Acceleration
There is an arms race in the nascent market for GPU-accelerated databases, and the winner will be the one that can scale to the largest datasets while also providing the most compatibility with industry-standard SQL.
MapD and Kinetica are the leaders in this market, but BlazingDB, Blazegraph, and PG-Strom also in the field, and we think it won’t be long before the commercial relational database makers start adding GPU acceleration to their products, much as they have followed SAP HANA with in-memory processing.
MapD is newer than Kinetica, and it up until now, it has been content to allow clustering …
Pushing A Trillion Row Database With GPU Acceleration was written by Timothy Prickett Morgan at The Next Platform.