Back to catalog
Apache Cloudberry
Apache-2.0Apache Cloudberry replaces Snowflake with an open-source MPP database based on modern PostgreSQL, offering petabyte-scale analytics on your own hardware.
Open-source alternative to — compare it against:
Overview
Snowflake charges metered credits for every query engine spin-up while confining analytical datasets to managed cloud infrastructure. Apache Cloudberry returns analytical warehousing to self-managed environments by distributing an open-source PostgreSQL kernel across a shared-nothing cluster. It executes complex queries across terabytes of relational data on bare metal or private cloud instances without external compute bills.
Why Apache Cloudberry instead of Snowflake
Snowflake requires data teams to ingest tables into internal proprietary micro-partitions or query external stages through vendor-specific SQL extensions. Apache Cloudberry integrates directly with existing developer tooling because it speaks standard PostgreSQL protocol. Database administrators and engineers query the cluster using standard clients like psql or DBeaver, wire application services through vanilla PostgreSQL drivers, and define transformations with tools such as dbt-postgres. The Platform Extension Framework (PXF) and foreign data wrappers enable federated queries across external data stores—including Apache Kafka topics, S3-compatible object storage, HDFS, and external relational databases—without staging copies first.
The trade-off centers on operations versus ecosystem control. Snowflake abstracts cluster hardware behind an automated cloud management plane, trading away architectural flexibility for minimal administrative effort. Cloudberry provides total data sovereignty, predictable infrastructure costs, and direct access to PostgreSQL extensions on private networks. In return, DevOps engineers must handle segment node provisioning, interconnect network routing, and disk balancing themselves instead of relying on a managed control plane.
What it does well
- Speaks the standard PostgreSQL wire protocol, letting developers use ordinary client libraries, ORMs, and
psqlscripts without specialized drivers. - Executes federated parallel queries across S3 object stores, Hadoop HDFS, Hive, and relational databases using the Platform Extension Framework (PXF).
- Streams event data directly from Apache Kafka topics into analytical tables via a dedicated foreign data wrapper.
- Uses the GPORCA cost-based optimizer to plan complex analytical queries, multi-level partitions, and parallel joins across segment hosts.
