Can GPU Based Data Handling Take Over From CPUs In Big Databases?

Can GPU Based Data Handling Take Over From CPUs In Big Databases?

Can GPU Based Data Handling Take Over From CPUs In Big Databases? By Ashar Ahmad  /  1 min ago Share Tweet Hadoop and Spark are two commonly used applications for processing and storage of big data clusters. Each has its own advantage but sometimes you need something a bit more specialized and optimized for even bigger workload. That is where Kinetica, previously known as GPUdb, comes in with its unique and supposedly revolutionizing technology of using GPU based data handling. The Kinetica database claims to use the power of massively distributed GPUs thereby giving up to 1,000 times better real time analytics performance. While on paper it may sound amazing, whether it works properly or not is another question especially when considering a wider range of big data applications and…


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