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Backed by Y Combinator

Scalable Data Processing
For the GPU Era

Fully-managed Spark + SQL at 2× speed and half the cost Built for teams that ship

Get Early Access

Your Data Warehouse Is Slowing You Down

  • Compute costs balloon endlessly

  • Pipelines are slow, queries run for hours instead of minutes

  • Teams waste time managing infra instead of shipping insights

Learn how customers are saving up to

60%

—with zero commitments!

Integrates with all common tools, major clouds, and GPU clouds

Google BigQuery, Amazon Redshift, Snowflake, Apache Spark, and Presto Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage

Built for Data Teams Who Need to Ship

Seamless Integration. No Lock-In. Pure Acceleration.

Data at the Speed of GPUs

Run high-volume ETL at 2× speed and a fraction of the cost with automatic hardware acceleration.

Effortless Migration

Keep your storage, keep your logic—just point ParaQuery at your existing data.

Zero-Hassle Integration

White-glove delivery means no time wasted on setting up infrastructure.

No Data Ingestion Required

Query your files where they live.

No Vendor Lock-In

Use open formats and the storage of your choice, all on open-source Spark.

Run Queries Anywhere

GCP, AWS, Azure, and more. Need on-prem or special considerations? Contact us!

Five data sources flowing through a SQL and Spark pipeline into five destinations, with ParaQuery at the center

Easy Results

  • Input
  • Output
  • Logic
  • Run

Ready to Cut Your BigQuery Bill up to 60%?

  • Risk-Free Pilots
  • Custom ROI Analysis
  • White-Glove Delivery
  • Guaranteed Pricing
Join Early Access!

Backers and startup programs

Backed by Y Combinator Google for Startups, AWS Startup Programs, Microsoft for Startups, and NVIDIA Inception Program