ParaQuery

Managed GPU-accelerated Spark + SQL at 2x speed and half the cost

Y CombinatorSpring 2025ActiveB2BInfrastructureDeveloper ToolsAnalyticsBig DataEnterprise Software

What they do

Problem

Running large SQL and Spark analytics workloads is often slow, expensive, and tied to specific cloud vendors or platforms.

Solution

ParaQuery provides a fully managed, cloud-agnostic, GPU-accelerated Spark and SQL platform that delivers faster performance at lower cost without requiring data migration.

Who it's for

Data engineering and analytics teams at companies running large-scale Spark/SQL workloads who want lower cost, higher performance, and no vendor lock-in.

Founders

Win Wang

Founder

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.

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