Release Notes on Mooncake

pg_mooncake 0.3.0: First PGSTY Release with DuckDB 2.0, pgrx 0.19.3, and PostgreSQL 14–18 Support

Ruohang Feng — Thu, 05 Nov 2026 00:00:00 +0000

pg_mooncake 0.3.0 — released alongside duckdb_mooncake v0.0.2 and moonlink v0.0.1 — is the first release of the Mooncake real-time analytics suite maintained by PGSTY:

pgsty/pg_mooncake v0.3.0 (MIT)
pgsty/duckdb_mooncake v0.0.2 (MIT)
pgsty/moonlink v0.0.1 (BSL-1.1 with PG_MOONCAKE LINKING & DISTRIBUTION EXCEPTION, client crates MIT)

Binary RPM and DEB packages for PostgreSQL 14, 15, 16, 17, and 18 across RHEL / Rocky / AlmaLinux 8, 9, 10 and Debian 12/13, Ubuntu 22.04/24.04 (x86_64 and aarch64) are available through the PGEXT repository and Pigsty.

pg_mooncake v0.2: what we're cooking

Pranav Aurora — Tue, 11 Feb 2025 00:00:00 +0000

With v0.1, we proved that Postgres can deliver great analytics performance. Our approach combined two key pieces—DuckDB vectorized engine and a columnstore table—making pg_mooncake the only extension in Postgres that integrates both.

The results speak for themselves: pg_mooncake ranks in ClickBench’s top 10, and we built the fastest Parquet-based engine along the way.

Now, with v0.2, we’re tackling the next big challenge; we call it out-of-the-box analytics.

First, why in-Postgres analytics?

Applications often have their first analytics needs far before they have their first data warehouse or analytics system.

The easiest way to Analytics in Postgres: pg_mooncake v0.1

Mooncake Labs — Sat, 11 Jan 2025 00:00:00 +0000

We announced pg_mooncake to the world on Day 60.

Today, Day 131, pg_mooncake comes out of beta.

pg_mooncake wins on ease and performance. So, we doubled down for v0.1. That’s it.

The Easiest Way to Fast Analytics in Postgres

With a native columnstore table in Postgres, pg_mooncake brings familiar table semantics to the way you run analytics. Columnstore tables support transactional operations like INSERT, SELECT, UPDATE, DELETE, and COPY, alongside joins with regular Postgres heap tables.