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.
Postgres Integration
Integrate Postgres with MotherDuck using pg_duckdb
Run DuckDB-powered analytics in harmony with PostgreSQL using the pg_duckdb extension.
PostgreSQL wasn’t built for analytics
PostgreSQL is brilliant for transactions, but struggles with analytical workloads.
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Large analytical queries can overwhelm your database, and using read replicas means your analytics run on outdated data as transactions queue up.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.
Query operational and cloud data together
Join PostgreSQL and MotherDuck tables, including data stored in cloud object stores like S3 and GCS.
Zero data movement analytics
Run fast, lightweight queries on your existing PostgreSQL data without copying or moving it elsewhere.
Hybrid workload optimization
Keep OLTP operations fast on PostgreSQL while handling OLAP queries through DuckDB's optimized engine.
