Qubole and Oracle: Combining the flexibility and scale of the cloud with better performance than on-prem

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September 19, 2016 by Updated September 8th, 2021


We are excited to be working with Oracle as the premier Big Data partner for the Oracle Cloud Platform. Qubole is the fastest growing Big Data as a service platform, with our flagship product Qubole Data Service (QDS) providing self-service access to Spark, Hadoop, Hive, and many other open-source analytics tools to enterprises across the world. We believe Big Data belongs in the cloud, and we’re excited about bringing QDS to the Oracle Cloud Platform.

Over the past few weeks, we have been working closely with the Oracle Cloud Infrastructure Service team to prototype our offering on their new service. Oracle Cloud Infrastructure Service has all the traditional values of the public cloud, such as fast deployment times, the scale and elasticity to run petabyte+ workloads, and flexibility with pay-as-you-go pricing.

In our discussions with the Oracle team, it quickly became clear that performance would be a differentiator as well. The bare metal compute instances run on dedicated hardware and avoid the overhead in performance and latency added by a layer of virtualization. Oracle Cloud Infrastructure Service also has compute shapes that utilize NVMe (Non-Volatile Memory Express) SSDs (Solid-State Drives), which make much better use of SSDs by parallelizing queues for disk access.

As you’ll see in our results below, we’ve found that Oracle Cloud Infrastructure Service performs up to 115% faster for some sets of query workloads. <<Read More>>


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