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Apache Cloudberry

Open source · OSI-approvedStatus: unknownNew

Self-hosted MPP database for petabyte-scale PostgreSQL analytics

Apache Cloudberry is a self-hosted, open-source MPP database for analytics at terabyte to petabyte scale, built on a modern PostgreSQL kernel. Coordinator and segment nodes spread queries across a shared-nothing cluster while speaking standard PostgreSQL SQL, so existing drivers and BI tools connect unchanged. It descends from Greenplum Database 7 and positions itself as the community open-source path for Greenplum estates.[1][2]

Quick verdict

Data teams warehousing terabytes to petabytes on PostgreSQL-compatible SQL will get the most from Apache Cloudberry. Its shared-nothing MPP engine, Greenplum compatibility with the cbcopy migration tool, and fully free Apache-2.0 license cover the analytical warehouse decision cleanly. Teams without dedicated platform staff, or anyone needing a managed cloud edition or macOS production support, should choose a hosted Postgres option instead. If you can operate tuned Linux hosts and accept community-only support, Cloudberry is the community open-source path off legacy Greenplum.[1][2][3][4]

Key features

  • Petabyte-scale MPP engine Coordinator and segment nodes form a shared-nothing cluster that scales PostgreSQL analytics from terabytes to petabytes, derived from the Greenplum Database 7 architecture.[1]

  • Standard PostgreSQL connectivity The cluster speaks the PostgreSQL wire protocol on port 5432, so psql, JDBC, standard drivers, and BI tools connect with ordinary PostgreSQL SQL.[1][2]

  • Greenplum compatibility path Documented compatibility guidance plus the cbcopy migration tool cover moving existing Greenplum estates across, with architecture and SQL syntax alignment from the shared lineage.[1][2]

  • PAX append-optimized storage The 2.x line adds PAX append-optimized storage with dynamic data distribution for analytical scan workloads.[1]

  • Dynamic tables Dynamic tables support streaming-style pipelines that refresh derived data continuously inside the warehouse.[1]

  • Transparent data encryption Transparent data encryption protects stored data without application changes, alongside pluggable resource isolation and workload balancing.[1][2]

  • Named ecosystem extensions Documented extensions include PostGIS for spatial work, MADlib for in-database analytics, and PXF federation toward lakehouse sources.[1]

  • MCP server for AI assistants A repository-shipped MCP server exposes databases, tables, and query execution as resources and tools, giving programmatic access to AI assistants alongside SQL drivers.[1]

Who will love it

  • Data teams warehousing terabytes to petabytes who want PostgreSQL-compatible SQL, drivers, and BI connectivity over a shared-nothing MPP cluster.[1][2][3]

  • Operators of legacy Greenplum estates looking for a community open-source future with documented compatibility guidance and a dedicated migration tool.[1][2]

  • Mid-market and enterprise platform teams able to staff multi-node Linux clusters with tuned systems, passwordless SSH, and ongoing operations.[1][2]

Who should avoid it

  • Teams expecting a single-package install should look elsewhere: production deployment spans multiple dedicated hosts with OS and kernel tuning, and the single-node path is evaluation only.[1][2]

  • Teams needing a managed cloud offering or published commercial support should pause: no official hosted edition or support price is documented, only community channels, so the operator owns hosting and upkeep.[1][2]

  • Teams standardized on macOS for production should avoid it: macOS builds are documented as unofficial and development-only, with Linux on x86_64 and ARM the production path.[1]

Reported experience

One inspected practitioner migration walkthrough (DEV, December 2025) plus reused official documentation for capability facts. No Reddit or G2 firsthand reports found; the testimonial set is intentionally empty.

1 cited community source. No original Reddit or G2 firsthand reports were found in this pass: four targeted searches surfaced only unrelated CloudBerry backup products, so fit and friction claims rest on official documentation and one practitioner migration walkthrough rather than user testimony. The walkthrough author is a community practitioner, not an independent measurement, and official sources are vendor-positioned.

A December 2025 practitioner walkthrough frames the migration motive plainly: Greenplum's closed-source turn complicated upgrades, bug fixes, and extensions, and presents Cloudberry's compatibility plus the cbcopy tool as the practical way across. It reads as one practitioner's positioned guide, not an independent measurement.[1]

No original Reddit or G2 firsthand accounts surfaced in this pass despite targeted searches, so there is no user-side evidence here about migration friction, query performance, or operating burden. Treat the official capability claims as documented rather than corroborated until user reports appear.[1][2]

Alternatives and compatibility

Supabase is the catalogue competitor for Postgres-compatible infrastructure choice: every project is a full Postgres database, open source and self-hostable. Choose Supabase for application-backend workloads with managed conveniences; choose Cloudberry for MPP analytical warehouse scope. Scope differs, so this covers infrastructure choice, not identical use.[1][2]

Stay with commercial Greenplum where a supported vendor relationship and existing tooling already work. Switch to Cloudberry when community open source under Apache governance, a modern PostgreSQL 14 kernel, and PAX storage matter more than a vendor contract.[1][2]

Questions worth asking

What is the best Apache Cloudberry alternative for non-technical users?

Supabase remains the safer pick for non-technical users: a managed Postgres backend with auth, storage, and dashboards and no cluster to operate. Choose Cloudberry when petabyte-scale MPP analytics and Greenplum compatibility outweigh that convenience. This stays conditional because no head-to-head test was done in this pass.[1][2]

Is Apache Cloudberry really no-code?

No. Everyday analytics run as standard SQL through psql, JDBC, and BI tools, but installing, initializing, and operating the cluster needs engineers: tuned Linux hosts, passwordless SSH, NTP, and per-host configuration across coordinator and segment nodes.[1][2]

How much does Apache Cloudberry cost per month?

The software itself costs nothing per month: it ships fully under Apache-2.0 with no paid tiers or proprietary editions documented on official pages checked in October 2026. Running costs fall to the operator for self-managed servers or cloud machines plus any BI tooling, and no commercial support price is published.[1][2][3]

Can you self-host Apache Cloudberry?

Yes, self-hosting is its primary shape. Deploy with RPM or DEB packages, a source build, or a Docker sandbox to on-premises servers or self-configured cloud machines. Production runs on Linux (x86_64 and ARM) while macOS builds stay unofficial for development only, and multi-node clusters need dedicated tuned hosts.[1][2][3]

Sources and editorial review

Source research. Reviewed on October 7, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

One inspected practitioner migration walkthrough (DEV, December 2025) plus reused official documentation for capability facts. No Reddit or G2 firsthand reports found; the testimonial set is intentionally empty. No original Reddit or G2 firsthand reports were found in this pass: four targeted searches surfaced only unrelated CloudBerry backup products, so fit and friction claims rest on official documentation and one practitioner migration walkthrough rather than user testimony. The walkthrough author is a community practitioner, not an independent measurement, and official sources are vendor-positioned.

  1. Apache Cloudberry (Incubating)

    official · Observed October 3, 2026

    Official Apache Cloudberry homepage: incubating MPP database for analytics at any scale, derived from Greenplum Database, PostgreSQL-compatible, community open source under the Apache Way; petabyte maturity claim, ecosystem integrations, transparent data encryption, and links to docs, community, and GitHub.

  2. apache/cloudberry

    official · Observed October 3, 2026

    Canonical apache/cloudberry repository: Apache-2.0 license, README describing Greenplum 7 derivation with PostgreSQL 14 kernel and 2.x feature set, RPM/DEB/source/Docker build paths for RHEL-family and Ubuntu Linux plus unofficial macOS build, 2.0.0-incubating release, and community contribution channels.

  3. Cloudberry Database Documentation

    official · Observed October 3, 2026

    Official documentation index: maintained 2.x stable line plus actively developed main branch, getting-started and deployment sections, ecosystem extensions including PostGIS, MADlib, and PXF, and community support channels (Slack, discussions, mailing lists).

  4. Platform Requirements

    official · Observed October 3, 2026

    Official platform requirements: Rocky/RHEL/Ubuntu on x86_64 and ARM with stated CPU, memory, disk, and filesystem guidance; dedicated hosts with tuned systems, passwordless SSH, and NTP; on-premises and self-configured cloud VM deployment with operator responsibility for cloud setup.

  5. Single-Node Deployment

    official · Observed October 3, 2026

    Official single-node deployment guide: evaluation-only quickstart installing RPM/DEB packages or source builds, initializing the database, connecting over the PostgreSQL protocol on port 5432 via psql and JDBC, and removing the instance afterwards.

  6. Apache Cloudberry vs Greenplum

    official · Observed October 3, 2026

    Official Cloudberry versus Greenplum comparison: Greenplum 7 derivation with PostgreSQL 14 upgrade path, PAX append-optimized storage with dynamic distribution, dynamic tables, transparent data encryption, pluggable resource isolation, multidimensional workload balancing, and vendor-neutral Apache governance with confident migration positioning.

  7. Cloudberry MCP Server

    official · Observed October 3, 2026

    Repository MCP server directory: documented programmatic interface exposing Cloudberry databases, tables, and query execution as resources and tools for AI assistants, with configuration and usage instructions.

  8. Supabase homepage

    official · Observed October 3, 2026

    Supabase official homepage observation used only to ground the relationship target: every project is a full Postgres database with auth, edge functions, storage, realtime, vector, and data APIs; open source from day one with self-hosting supported.

  9. Migrate the legacy Greenplum to Apache Cloudberry with cbcopy

    community · Observed October 7, 2026 · Published December 16, 2025

    Practitioner migration walkthrough by Maya S. (December 16, 2025): Greenplum closed-source limits on upgrades, fixes, and extensions as the migration motive; Cloudberry compatibility and the cbcopy tool as the path across. Third-party practitioner guide, not a firsthand user review and not usable as a testimonial.

Compared with these products

No explicit proprietary baseline is recorded.

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