Crunchy Data

A next-generation Postgres-native data warehouse, with full Iceberg support for fast analytical queries and transactions, built on unmodified Postgres to support the features and ecosystem you love.

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Why we built it

Existing Postgres data warehouse solutions compromise OLAP performance or fork the codebase. Ours, however, offers true OLAP capabilities that maintain compatibility and leverage modern formats.

  • Managed Iceberg tables
  • High performance analytics
  • Query your data lake
  • Flexible data import/export
  • Seamless integrations
  • Zero-ETL

What it is

This is Postgres, not just "Postgres-compatible," extended and optimized for analytical workloads with a vectorized query engine, parallel processing, and data lake-backed transactional tables.

  • Millisecond response times
  • Data management flexibility
  • Infinite, compressed storage
  • Easy data import/export
  • Open-table formats
  • Full Postgres feature set

Use cases

The only limitation is your understanding of Postgres. Crunchy Data Warehouse extends Postgres beyond its traditional limits, making it an excellent analytics platform that's ready for modern workloads like:

  • Monitoring and telemetry
  • Internet of Things (IoT)
  • Web and app analytics
  • Time series data
  • Ad networks
  • Online gaming
  • Observability and metrics
  • User behavior analytics
  • Geospatial

Get started

If you've used Postgres, you can use Crunchy Data Warehouse - it's that simple. We've made onboarding straightforward for both new and experienced users. Get started with the links below.

Have it your way

Your data warehouse, anywhere you want it

Crunchy Postgres for Kubernetes

Cloud-native data warehouse on Kubernetes
  • Simple provisioning
  • Backups included
  • High availability
  • Scale from 1 to thousands of databases
  • Self-managed

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Crunchy Bridge

Fully managed Postgres on your choice of cloud provider
  • Cloud agnostic (AWS, Azure, GCP)
  • Continuous protection
  • Backups included
  • Pay for what you use
  • The developer experience you want

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Enterprise support

Crunchy Data Support included with all Crunchy Data Product subscriptions

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It’s just Postgres

Bridge the gap between OLTP and OLAP in a single Postgres environment.

  • Full SQL support
  • Transactions (DDL and data)
  • Version rollback capabilities
  • Schema migration
  • Datalake & open-table file formats

Reduce data management costs

Columnar storage and compression with full datalake house capabilities.

  • Local disk speeds at cloud storage costs
  • Performance of an application database
  • Transactional & analytical processing
  • Cloud-optimized storage
  • Cost efficient

Simplify your data stack

Deploy and scale on cloud or bare metal with Crunchy Postgres for Kubernetes.

  • Postgres for applications
  • Postgres for data lakes
  • Postgres syntax teams already use
  • Vectorized execution engine
  • Parallel processing capabilities

Postgres-native analytics

Unlock the power of Postgres

We've built upon PostgreSQL's robust foundation to create a seamless analytics experience. Leverage your PostgreSQL knowledge while gaining powerful new capabilities for handling large-scale analytical workloads.

Extensive PostgreSQL ecosystem

Leverage popular extensions like pg_cron and pg_stat_statements while handling both OLTP and OLAP workloads.

Zero learning curve

If you know Postgres, you already know how to use Crunchy Data Warehouse. Same syntax, same tools, new possibilities.

Advanced query optimization

Leverage vectorized execution and parallel processing capabilities to handle complex analytical queries with unprecedented speed.

Expertly engineered

Modern data architecture

Built for cloud-native environments, our architecture combines the best of modern data technologies to deliver unprecedented flexibility and performance.

Data lake

Designed to handle the most demanding analytical workloads for data scientists, developers and DBAs working with large-scale data systems.

Optimized storage format

Columnar data stored in a columnar format and queried using a vector execution engine, all within the same Postgres environment.

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