How to tell if a GPU-oriented database is a good fit for your big data project
from Tech Republic
Hadoop is cool, and Spark is fast, but sometimes you need optimized hardware to handle increasingly bigger data workloads. That's the premise behind Kinetica, an in-memory database that channels the power of massively distributed graphics processing units (GPUs) to promise 100-1,000x better real-time analytics performance. Such a promise is somewhat dizzying, given the bevy of big data analytics options available today. But it's also a tad optimistic.
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