
Serverless DuckDB
Run DuckDB SQL analytics in a serverless cloud data warehouse. Dual execution runs query stages on your laptop, in the cloud, or across both, and zero-copy shares let teammates query the same data.
MotherDuck Acquires Tower to power Data AgentsRead

Ship customer-facing analytics with a serverless DuckDB database. Use per-customer compute, Postgres compatibility, and embedded Dives to make your application fly!

Run DuckDB in the cloud for fast, efficient analytics. Ingest and transfrom your data with Flights, give context to agents with Guides, and build visuals with Dives. Source controlled end-to-end.
With all your users in one big, shared box, they’re constantly competing for resources and compute, making load times unbearable...why are we doing this?
With a traditional DWH, power users run into latency issues as processing scales. Deciding which users to bin-pack and which to isolate on their own instance is cumbersome and sloooooooow.
It’s impossible to understand who is driving the lion’s share of usage and how to prevent your database and the applications built on top from grinding to a halt. The struggle is real - but there’s finally a better way.
MotherDuck is the first analytics data warehouse that offers cloud scale and individualized, user-level tenancy. Managing user-level compute limits and cost attribution without cumbersome upfront configuration hasn’t been possible until now.
Each user automatically gets their own compute instance “duckling” so end users can move quickly and freely from question to insight. Best of all: No more waiting around for queries to process because someone else is using too much compute!
Built-in user-level CPU visibility ensures a consistent, smooth experience for all your users. Cost attribution at the user-level helps you predict and proactively optimize costs without additional overhead - say goodbye to surprise bills when usage scales up.
Managed DuckDB-in-the-cloud

Run DuckDB SQL analytics in a serverless cloud data warehouse. Dual execution runs query stages on your laptop, in the cloud, or across both, and zero-copy shares let teammates query the same data.

Connect Claude, ChatGPT, Cursor, or any MCP-compatible agent to MotherDuck. Natural-language questions come back as accurate, traceable SQL, running in sandboxed compute.

Guides give AI agents shared business context on every query, so natural-language answers stay accurate for the people who know the business.

Dives are live, interactive visualizations built by an AI agent or with SQL — filter and drill down on live data, share them, or embed them in your app.

Flights are scheduled Python data pipelines that run inside MotherDuck. Describe a source and your agent writes, deploys, and schedules the ingestion job.

Hypertenancy gives each user, customer, or AI agent an isolated DuckDB instance — high concurrency with no shared clusters or noisy neighbors, plus up to 16 read-scaling replicas.
Modern Duck Stack
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