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ParaQuery

Fully-managed Spark + SQL at 2x speed and half the cost

Data & Analyticsdata-processingetlsparksqlgpu-accelerationcloud-datacost-optimization
ParaQuery screenshot

About

ParaQuery is a fully-managed GPU-accelerated data processing platform that runs Spark and SQL workloads at 2x the speed of traditional data warehouses at roughly half the cost. It integrates with existing storage and tools on major cloud providers without requiring data ingestion or migration of existing logic. The service targets data teams looking to reduce BigQuery, Snowflake, or Redshift bills by up to 60%.

Problem

Data warehouse compute costs balloon endlessly and pipelines are slow, causing teams to waste time managing infrastructure instead of shipping insights.

For

data engineering teams using BigQuery, Snowflake, or Redshift

How it works

ParaQuery runs fully-managed Spark and SQL workloads with automatic GPU hardware acceleration, querying files in place on existing storage across GCP, AWS, Azure, and other clouds without requiring data ingestion.

Business model

unknown

Status

launched

Company

Hypermorphic

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