Easily explore local data files with DuckDB
The cloud data warehouse that's making big data feel small. Our unique architecture enables dual query execution across local machines and the cloud for smooth workflows and ultra-efficient performance that won’t break the bank.
MotherDuck exposes a Postgres-compatible endpoint, allowing existing Postgres clients and ORMs to connect directly. Queries that timeout at 60 seconds on Postgres return sub-second on MotherDuck's columnar OLAP engine, enabling faster analytics while preserving application logic and tooling.
MotherDuck's MCP Server turns natural language questions into accurate, traceable SQL queries with fully sandboxed compute. This enables non-technical users to ask conversational questions about data while maintaining security and query transparency.
MotherDuck's hypertenancy architecture gives each customer a dedicated DuckDB instance (Duckling) with full compute isolation, eliminating resource contention and enabling predictable millisecond-level performance. Embeddable Dives and Postgres-compatible endpoints allow developers to integrate analytics directly into applications without infrastructure overhead or complex migrations.
MotherDuck's WebAssembly SDK and dual execution architecture enable DuckDB to run locally in the browser while accessing cloud-persisted data. This 1.5-tier model delivers sub-display-refresh analytics performance by reclaiming idle client-side compute, ideal for highly interactive dashboards and data exploration.
MotherDuck is a serverless cloud data warehouse built on DuckDB with cloud storage, zero-copy data sharing, and integrated collaboration features. It supports data ingestion from S3, PostgreSQL, and BigQuery; integrates with dbt, Fivetran, and Tableau; and scales compute independently per user without cluster sizing or warehouse suspension.