ParaQuery
ActiveManaged GPU-accelerated Spark + SQL at 2x speed and half the cost
About
ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.
Founders · 1
Focused on efficiency, effectiveness, and (user) experience. Previously a tech lead @ Twitter, building massively-parallel distributed build systems. Now building a cheaper, faster big data platform by using the right hardware for job. Fully-managed, GPU-accelerated, petabyte-scale at double the speed and half the cost.
Launch
ParaQuery is the GPU-accelerated Spark + SQL engine for your big data needs.
ParaQuery provides a GPU-accelerated, Spark-compatible SQL engine for data warehouses, targeting BigQuery-like workloads. It offers serverless GPU-based processing claimed to be up to 4–5x more cost-efficient than competitors, with minimal query changes and vendor-agnostic cloud deployment.
Formerly “Hypermorphic”
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