Postgres Integration

Integrate Postgres with MotherDuck using pg_duckdb

Run DuckDB-powered analytics in harmony with PostgreSQL using the pg_duckdb extension.

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PostgreSQL wasn’t built for analytics

PostgreSQL is brilliant for transactions, but struggles with analytical workloads.

Row-oriented storage hurts performance

PostgreSQL stores data row-by-row, making analytical queries scan unnecessary data and waste I/O on columns you don't need.

Spiky analytics workloads conflict with transactions

Large analytical queries can overwhelm your database, and using read replicas means your analytics run on outdated data as transactions queue up.

Management overhead wastes resources

Keeping PostgreSQL performant for analytics means managing indexes, tweaking configurations, optimizing queries, and monitoring resource contention.

Analytical power inside PostgreSQL

MotherDuck plus PostgreSQL using the pg_duckdb extension lends analytical power to your transactional database when you need it most.

Dramatic analytical performance gains

Up to 20x faster queries in cases where PostgreSQL alone struggles, thanks to DuckDB's vectorized execution engine.

Dramatic analytical performance gains

Query operational and cloud data together

Join PostgreSQL and MotherDuck tables, including data stored in cloud object stores like S3 and GCS.

Query operational and cloud data together

Zero data movement analytics

Run fast, lightweight queries on your existing PostgreSQL data without copying or moving it elsewhere.

Zero data movement analytics

Hybrid workload optimization

Keep OLTP operations fast on PostgreSQL while handling OLAP queries through DuckDB's optimized engine.

Hybrid workload optimization

Powered by MotherDuck

MotherDuck with DuckDB was by far the fastest of the OLAP platforms we evaluated - both in the cloud and run on our developer's machines - bridging price and performance and greatly increasing productivity.

Jim O’Neill's photo

Jim O’Neill

CTO and Co-Founder at FinQore

MotherDuck with DuckDB was by far the fastest of the OLAP platforms we evaluated - both in the cloud and run on our developer's machines - bridging price and performance and greatly increasing productivity.

Jim O’Neill's photo

Jim O’Neill

CTO and Co-Founder at FinQore

MotherDuck with DuckDB was by far the fastest of the OLAP platforms we evaluated - both in the cloud and run on our developer's machines - bridging price and performance and greatly increasing productivity.

Jim O’Neill's photo

Jim O’Neill

CTO and Co-Founder at FinQore

Power-up your PostgreSQL with MotherDuck

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