A faster, simpler alternative to Snowflake

Snowflake did a lot for cloud data warehousing, but the credit-based pricing model is a pain. You have to guess at warehouse sizing, credits disappear faster than you’d expect on complex queries, and costs spike when multiple teams are querying at once.

MotherDuck runs on DuckDB, an analytical database engine that uses modern hardware to process terabytes of data on a single node. No distributed query coordination, no shuffling data between nodes. Queries that take minutes in a traditional distributed warehouse often come back in under a second.

There are no credits to track and no warehouses to size. MotherDuck bills by the second. You pay for the compute you use, and instances scale to zero when idle. If nobody’s querying, you’re not paying.

Hypertenancy gives each user or customer in your application their own isolated DuckDB compute node, sized independently. Customer-facing analytics get consistent, low-latency performance without contention or surprise bills from concurrent workloads.

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  Sub-second queries from DuckDB’s columnar vectorized engine
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  Per-second billing with no credits or warehouse sizing
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  Isolated per-user compute that scales independently for embedded analytics
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  Works with your existing SQL, dbt models, and data tools
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  Scales to zero when idle — pay nothing when nobody’s querying

Try it free and see how much simpler cloud analytics can be.

Compute instances include a short cooldown period to stay warm for follow-up queries. See pricing details for specifics.