release
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pg_mooncake 0.3.0: First PGSTY Release with DuckDB 2.0, pgrx 0.19.3, and PostgreSQL 14–18 Support
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 …
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 …
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pg_mooncake v0.2: what we're cooking
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 …
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 …
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The easiest way to Analytics in Postgres: pg_mooncake v0.1
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 …
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 …