$0/month
- Up to 3 internal active users, 2 service accounts, 10 GB storage, 10 hrs Pulse compute, Pulse instances only, community
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$0/month
$250/month
MotherDuck Corporation is a serverless cloud data warehouse built on DuckDB, founded in 2022 and headquartered in Seattle. It delivers isolated per-user compute, sub-second analytics, AI agent integration via MCP, and embedded visualizations for data teams and developers.
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Short answers to the questions buyers and builders commonly ask about Motherduck. Each answer cites the shared ledger below, where every source is listed once.
Serverless cloud data warehouse built on DuckDB with per-user isolated compute (Hypertenan · Up to 20x faster analytical queries versus PostgreSQL alone · Query existing PostgreSQL data without copying or moving it · Hybrid OLTP and OLAP workload optimization
Serverless SQL analytics with no infrastructure to manage—query your data in seconds.
Data teams, app developers, and AI agents
Serverless SQL analytics built on DuckDB for data teams, app developers & AI agents.
Customer-facing analytics with per-customer compute, Postgres compatibility, and embedded · Build a modern data warehouse for internal business intelligence, power customer-facing an · Hex notebooks enable interactive analytics on MotherDuck data using Python or SQL cells wi
Ship customer-facing analytics with a serverless DuckDB database. Use per-customer compute, Postgres compatibility, and embedded Dives to make your application fly!
Each MotherDuck Organization is scoped to a single cloud region chosen at Org creation · Using Python cells to connect to MotherDuck in Hex requires Python 3.12 or later for a com
"acceptedAnswer":{"@type":"Answer","text":"Each MotherDuck Organization is currently scoped to a single cloud region that must be chosen at Org creation when signing up."}}
Lite | $0/month | 10 GB free storage and 10 hrs Pulse compute per month, up to 3 internal · Enterprise | Custom/month | Unlimited internal active users and service accounts, fixed-co · Enterprise support plans for on-premise DuckDB deployments from the MotherDuck/DuckLabs te
Up to 3 internal active users and 2 service accounts - 10 GB free storage - 10 hrs Pulse compute per month included
SQL functions for managing Guides include MD_CREATE_GUIDE, MD_LIST_GUIDES, MD_GET_GUIDE, M
SELECT id, topic, title, description, access FROM MD_LIST_GUIDES();
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MotherDuck | The Cloud Data Warehouse Built on DuckDB
Legal name: MotherDuck Corporation · Founded in 2022 · Headquartered at 2811 Fairview Ave E, Suite 2000, Seattle, WA 98102, US
MotherDuck Corporation
2022
2811 Fairview Ave E, Suite 2000, Seattle, WA 98102, US
Serverless cloud data warehouse built on DuckDB with per-user isolated compute (Hypertenancy)
DatabaseApplication (Web)
Managed cloud service only (no on-premises version)
Lite | $0/month | 10 GB free storage and 10 hrs Pulse compute per month, up to 3 internal active users and 2 service accounts, community support
Enterprise | Custom/month | Unlimited internal active users and service accounts, fixed-cost capacity pricing, AWS PrivateLink connectivity, IP allowlisting, HIPAA BAA
Each MotherDuck Organization is scoped to a single cloud region chosen at Org creation
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
The August 2026 newsletter covers an agent-native architecture with embedded DuckDB per peer (Quack), a new ADBC extension connecting to 30+ external databases, async I/O for Parquet/CSV in DuckDB v2.0, and the WebDuck self-hosted service.
View source [23]Tutorial combining Vercel V0 with MotherDuck to build data apps: agent-driven signup, ingestion via MotherDuck Flights, and Vercel deployment, demonstrated with a Bryan Johnson health-tracking app.
View source [25]MotherDuck launched Flights, an agent-native data pipeline feature that lets AI agents build, deploy, and operate data ingestion, per the June 2026 DuckDB Ecosystem Newsletter.
View source [24]The April 2026 DuckDB Ecosystem Newsletter reported that DuckLake 1.0 shipped, alongside Lance vector search additions and a Rust-native extension.
View source [9]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
SOC 2 Type II and GDPR compliant; HIPAA BAA available on request for Business Plan customers
MotherDuck Corporation
DatabaseApplication
Web
Serverless
Built on DuckDB
PostgreSQL via pg_duckdb extension
Amazon S3 and Google Cloud Storage (cloud object stores)
dbt
Up to 20x faster analytical queries versus PostgreSQL alone
Query existing PostgreSQL data without copying or moving it
Hybrid OLTP and OLAP workload optimization
MotherDuck — serverless cloud data warehouse built on DuckDB
Serverless DuckDB SQL analytics in the cloud
Hypertenancy with isolated DuckDB instances per user/customer/AI agent and up to 16 read-scaling replicas
Dual execution running query stages on the laptop, in the cloud, or across both, with zero-copy shares for collaboration
MCP Server for AI agents (Claude, ChatGPT, Cursor, and other MCP-compatible agents)
Customer-facing analytics with per-customer compute, Postgres compatibility, and embedded Dives
Data teams, app developers, and AI agents
BI tools Omni, Hex, Tableau, and Power BI; dbt via the DuckDB dbt adapter; S3 and S3-compatible object storage
Enterprise support plans for on-premise DuckDB deployments from the MotherDuck/DuckLabs team
MotherDuck is the serverless cloud data warehouse built on DuckDB, providing sub-second analytics.
Hypertenancy architecture gives every user, customer, or AI agent an isolated compute instance against shared data, with up to 16 read-scaling replicas.
Build a modern data warehouse for internal business intelligence, power customer-facing analytics in your application, or build agent-driven analytics tools.
Develop and iterate locally, then share and scale in the cloud when you need it.
Flights are scheduled Python data pipelines that run inside MotherDuck for ingest, transformation, and operational tasks.
Dives are live, interactive visualizations built by an AI agent or with SQL, embeddable in apps as customer-facing dashboards.
MotherDuck Wasm SDK enables client-side JavaScript to process data locally against cloud-persisted data for browser-native analytics.