ParaQuery
Accelerates Spark and SQL data processing using GPUs with automatic hardware acceleration.
A fully-managed data processing platform that accelerates Spark and SQL workloads using GPUs, solving the problem of slow query performance and escalating compute costs in data warehouses. It sells to data teams and analytics professionals at companies struggling with expensive, slow pipelines on platforms like BigQuery, Snowflake, or Redshift. It is delivered as a fully-managed service with white-glove integration, no data ingestion required, and no vendor lock-in, positioning itself as a drop-in acceleration layer.
Key features
- Fully-managed Spark and SQL
- Automatic GPU acceleration
- Query data in place (no ingestion)
- Supports open-source Spark formats
- Runs on GCP, AWS, Azure
- No vendor lock-in
- White-glove setup and integration
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ICP
- Data analytics teams
- Engineering teams