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Cloud SQL Analytics Powered By DuckDB

Build Next-Gen Data Warehouses and Apps

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Cloud data warehouse for the rest of us

Hardware has advanced a lot in the last 10 years, but we’re still using complicated distributed data processing circa 2005. MotherDuck provides a simplified, performant and efficient data warehouse based on the lightweight DuckDB engine for the 95% of data warehouses that don’t need petabyte scale.

Cloud use case illustration
Cloud use case illustration

Data lake query engine

Do you have all your data in a cloud data lake? Or perhaps just your cold data? MotherDuck uses DuckDB to query your data where it sits as parquet, iceberg, or CSV files. With a notebook-like web UI and vectorized execution, you can run SQL queries on your data sitting in-place.

Data Lake use case illustration
Data Lake use case illustration

Serverless backend for Data Apps

Customers of SaaS applications are demanding fast and fresh analytics on their data to make better decisions. Developers often tackle this with analytics queries running on the transactional database (hopefully a replica) which are not designed for the task. MotherDuck uses DuckDB to provide a better solution.

Serverless use case illustration
Serverless use case illustration


Managed DuckDB-in-the-cloud


Modern Duck Stack