Why you should use Gandiva for Apache Arrow

An execution engine for Arrow-based in-memory processing, Gandiva brings dramatic performance improvements to analytical workloads

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Gandiva was designed to be used in many contexts. We hope that communities using Python, Spark, Node.js, and other environments can all find ways to embed and leverage Gandiva.

Because Arrow is cross-platform, and because Gandiva consumes and produces the Arrow data format, each process can efficiently interact with data from a common in-memory standard—and without the overhead of serializing and de-serializing the data.

Kelly Stirman is the VP of Strategy and CMO at Dremio. Previously, he was VP of strategy at MongoDB where he worked closely with customers, partners, and the open source community. For more than 15 years, he has worked at the forefront of database technologies. Prior to MongoDB, Kelly served in executive and leadership roles at Hadapt, MarkLogic, PeopleSoft, GE, and PricewaterhouseCoopers.

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