Sizzling SQL databases

Review: DeepSQL outruns Amazon Aurora

DeepSQL makes index-heavy ingestion and queries go really fast, outperforming Aurora by twofold in our benchmarks

At a Glance
  • Deep Information Sciences DeepSQL 5.6.x

Editor's Choice

When I reviewed Amazon Aurora last October, I noted that its level of performance was far beyond any I had seen from other open source SQL databases, and it did so at a far lower cost than you would pay for an Oracle database of similar power. Considering that Aurora is a drop-in replacement for the ubiquitous MySQL, Amazon certainly had a winner on its hands.

In an investor call late in 2015, Phil Hardin, director of investor relations at Amazon.com, said the Aurora relational database engine was a technological high point for AWS, and it was “our fastest-growing service ever.” As we’ve long known in tech, pioneers usually wind up with arrows in their backs.

The arrow in Aurora’s back I’ve now evaluated is DeepSQL, another drop-in replacement for MySQL. Deep Information Sciences claims that DeepSQL is faster than Aurora by multiples, depending on the task, and I challenged them to prove it.

How DeepSQL works

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