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MotherDuck Acquires Tower to power Data AgentsRead

Serverless Data Warehouse Built on DuckDB

Analytics infrastructure for data teams, app developers & AI agents.

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For App Devs's illus

For App Devs

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

For Data Teams's illus

For Data Teams

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.

What Makes MotherDuck Unique?

The Old World

Bin-packed, high latency workloads

Analytics are too cumbersome

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?

Scaling is resource-intensive

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.

No visibility of user-level usage

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.

The MotherDuck World

Data warehouse without the overhead

Simple, straightforward analytics

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.

The first truly personal data warehouse

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!

User-level CPU Visibility by design

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.

THE AI NATIVE CLOUD DATABASE

Architecture

Managed DuckDB-in-the-cloud

Case Studies

FAQS

Hypertenancy gives each user, customer, or AI agent an isolated DuckDB instance called a Duckling, so workloads do not compete for shared compute.
The MotherDuck MCP Server lets AI agents inspect catalogs and run SQL, read Guides, create Dives, and manage Flights.
MotherDuck shares databases through read-only share objects. A provider creates a zero-copy share, and consumers attach it to their workspace and query it without exporting files or making a second copy.
Yes, MotherDuck can query data stored in S3 and other S3-compatible object storage. See our authentication and querying guides.
You can connect with DuckDB clients such as Golang and Python, or use the MotherDuck UI and other supported interfaces. See our connection guides.
MotherDuck supports BI and data visualization tools such as Omni, Hex, Tableau, and Power BI. See the MotherDuck ecosystem for more integrations.
dbt users can take advantage of the DuckDB dbt adapter, which works with MotherDuck. See our dbt guide.

Get in Touch

We’d love to learn more about what you’re building. A Product Expert will fly right back to you with resources to help you take flight.

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