apache/cloudberry

Health v2 · maintenance only

Adoption not part of the score

1374 stars · 243 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Cloudberry is an advanced open-source Massively Parallel Processing (MPP) database derived from Greenplum and built on a modern PostgreSQL kernel. It serves as a data warehouse for large-scale analytics, supporting distributed queries, multiple storage formats, and in-database AI/ML workloads.

Use cases

• run a petabyte-scale data warehouse on commodity hardware
• migrate an existing Greenplum database to an open-source alternative
• run large-scale OLAP analytics with distributed parallel queries
• do in-database machine learning with MADlib on a Postgres-compatible MPP engine
• run spatial analytics with PostGIS at scale
• analyze unstructured data in object storage with SQL via directory tables
• serve near-real-time analytics with dynamic tables and hybrid PAX storage

When to choose

• you need a Greenplum-compatible MPP data warehouse with a newer PostgreSQL kernel
• you want vendor-neutral Apache-governed open-source analytics database
• you need mixed workloads including spatial, ML, and OLAP in one engine
• you are scaling PostgreSQL-style analytics beyond a single node

When to avoid

• you need a simple single-node OLTP database where plain PostgreSQL suffices
• you require a fully graduated, non-incubating Apache project
• your workload is small and does not benefit from MPP distribution
• you need managed cloud-native serverless analytics rather than self-hosted infrastructure

Facets

application · maturity active

database search-engine machine-learning analytics databases big-data data-science analytics cloud self-hosted cpp mpp data-warehouse olap greenplum-compatible postgresql-kernel distributed-database sql columnar-storage pax-storage madlib postgis data-engineering linux docker

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markdown · JSON · MCP: product_card(name="apache/cloudberry")