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Data & analytics · Tool
Motherduck
ResearchedMotherDuck is a serverless cloud data warehouse built on DuckDB, offering sub-second analytics, per-user compute scaling, and no infrastructure management. It supports BI, customer-facing analytics, and AI workloads via an MCP server.
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In one minute
Start here for the decision-making essentials: what Motherduck does, who it is for, how it is accessed, and the first-party sources behind this profile.
Pricing4 options
7-day free trial available
Lite plan starts from $0
Business plan is $250 per org/month plus usage
Enterprise plans are customized
Platforms
Serverless cloud servicePython
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary
Best suited to
Source-backed fit Software engineers with big data problems Data scientists doing data engineering Data engineers with slow, brittle pipelines DuckDB Users Solo practitioners and hobbyists Enterprise teams needing large-scale deployments
Decision support
6 sourced answersCommon questions and adoption checks
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.
01What does Motherduck say it can do?
Serverless SQL analytics with no infrastructure to manage · Cloud analytical database that scales per-user compute nodes independently with sub-second · MotherDuck MCP Server turns natural language questions into accurate, traceable SQL querie · Data Warehousing + BI
Serverless SQL analytics with no infrastructure to manage—query your data in seconds
02Who is Motherduck intended for?
Software engineers who ended up with a big data problem · Data scientists who ended up having to do data engineering · Data engineers with slow, brittle pipelines · Solo practitioners and hobbyists (Lite plan)
Software Engineers Who ended up with a big data problem
03What use cases does Motherduck describe?
Data warehousing: brings data together for business intelligence and SQL analytics, builds · Customer-facing embedded analytics delivered in milliseconds at scale via a columnar datab · Customer-facing analytics and internal data warehousing · Customer-Facing Analytics
Modern cloud data warehouse tools bring it together for business intelligence and SQL analytics. Build data pipelines, share data, and collaborate with your team.
04What pricing information is available for Motherduck?
7-day free trial available · Lite plan starts from $0 · Business plan is $250 per org/month plus usage · Enterprise plans are customized
Try 7 Days Free
05What integrations does Motherduck document?
Integrates with DuckLake and offers MCP server for AI workloads · PostgreSQL (via pg_duckdb extension) · Provides DuckLake integrations · 25+ integrations available
DuckLake Integrations
06How can Motherduck be deployed or accessed?
Serverless cloud analytics with no infrastructure to manage · Billed by-the-second cloud offering · quacklake extends DuckDB to Cloudflare Workers, adding Durable Objects support · Supports local DuckDB for development with MotherDuck for production
Fast, serverless analytics powered by DuckDB–from production apps to internal insights
Decision guide
Data & analyticsCapabilities and operating fit
This profile connects the jobs Motherduck is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
- Data warehousing and business intelligence
- Building and sharing data pipelines
- Team collaboration on SQL analytics
- Customer-facing embedded analytics at scale
- Internal data warehousing
- AI workloads via MCP Server
Topics mapped
Verified capabilities
- Serverless SQL analytics with no infrastructure to manage
- Cloud analytical database that scales per-user compute nodes independently with sub-second
- MotherDuck MCP Server turns natural language questions into accurate, traceable SQL querie
- Data Warehousing + BI
- AI + MCP Server
- MotherDuck offers an AI + MCP Server product
- DuckLake provides an ACID-compliant lakehouse with time-travel queries
- DuckDB's Iceberg extension adds full DML support (INSERT/UPDATE/DELETE)
Recorded integrations
Integrates with DuckLake and offers MCP server for AI workloadsPostgreSQL (via pg_duckdb extension)Provides DuckLake integrations25+ integrations availablePostgres data ingestionGoogle Sheets data syncingSlack alert notificationsOffers integrations with third-party toolsMotherDuck provides Dives integrationMotherDuck provides Customer-Facing Analytics integration
Intended audiences
Access signals
- Pricing model
- 7-day free trial available · Lite plan starts from $0 · Business plan is $250 per org/month plus usage · Enterprise plans are customized
- API
- Not publicly listed
- Source links
- 17 recorded
Source-backed
Updated July 23, 2026Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
MotherDuck | The Cloud Data Warehouse Built on DuckDB
Serverless SQL analytics with no infrastructure to manage · Cloud data warehouse built on DuckDB · Scales per-user compute nodes independently with sub-second latency
Serverless SQL analytics with no infrastructure to manage
Cloud data warehouse built on DuckDB
Cloud analytical database that scales per-user compute nodes independently with sub-second latency and no resource contention
MotherDuck MCP Server turns natural language questions into accurate, traceable SQL queries with fully sandboxed compute
Data warehousing: brings data together for business intelligence and SQL analytics, builds data pipelines, shares data, and enables team collaboration
View 32 more verified facts
Customer-facing embedded analytics delivered in milliseconds at scale via a columnar database handling thousands to millions of concurrent queries
Software engineers who ended up with a big data problem
Data scientists who ended up having to do data engineering
Data engineers with slow, brittle pipelines
7-day free trial available
Serverless cloud analytics with no infrastructure to manage
Integrates with DuckLake and offers MCP server for AI workloads
Customer-facing analytics and internal data warehousing
Solo practitioners and hobbyists (Lite plan)
Lite plan starts from $0
Business plan is $250 per org/month plus usage
Enterprise plans are customized
Billed by-the-second cloud offering
Region USA (N. Virginia): us-east-1
MotherDuck Support Policy last updated on 05/11/2026
Support is provided during normal business hours Monday through Friday 12am PT - 6pm PT, excluding MotherDuck holidays
Service requests received outside of Business Hours are responded to the following work day
Lite Plan (Free) customers must report incidents via MotherDuck Community Slack
Lite Plan (Paid) and Business Plan customers report incidents through authenticated support request in the MotherDuck web-based interface
Priority Level 1 incidents: Lite (Free) - All Reasonable Efforts; Lite (Paid) - 8 Business Hours; Business - 2 Business Hours
Priority Level 2 incidents: Lite (Free) - All Reasonable Efforts; Lite (Paid) - 12 Business Hours; Business - 4 Business Hours
Enterprise customers have support response times defined in their individual contracts
MotherDuck personnel assign a Priority Level to each Incident before providing responses
The Support Policy accompanies the MotherDuck Subscription Terms of Service entered into between Customer and MotherDuck
MotherDuck Corporation
Data Warehousing + BI
Customer-Facing Analytics
DuckDB Users
AI + MCP Server
Trust & Security section available on the site
Handles European personal information with a stated legal basis for processing
Slack Community and YouTube channel listed
Practical capabilities
8 documented areasWhat it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Data warehousing and business intelligence
Building and sharing data pipelines
Team collaboration on SQL analytics
Customer-facing embedded analytics at scale
Internal data warehousing
AI workloads via MCP Server
Data warehousing: brings data together for business intelligence and SQL analytics, builds
Customer-facing embedded analytics delivered in milliseconds at scale via a columnar datab
Availability
Source checkedWhere it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
7-day free trial available · Lite plan starts from $0 · Business plan is $250 per org/month plus usage · Enterprise plans are customized
Application types
Flight Plan templates for AI-Native Data PipelinesData warehousing + BI
Origin
Built in partnership with the DuckDB team (DuckLabs)
Platforms
Cloud data warehouse built on DuckDBServerless cloud serviceHybrid local-and-cloud execution (laptop + cloud)Connects to Claude, ChatGPT, or any agent that speaks MCPPythonMotherDuck is positioned as an alternative to SnowflakeMotherDuck is positioned as an alternative to Databricks
Adoption notes
DeploymentServerless cloud analytics with no infrastructure to manage · Billed by-the-second cloud offering · quacklake extends DuckDB to Cloudflare Workers, adding Durable Objects support · Supports local DuckDB for development with MotherDuck for production
LicenseNot disclosed by source
Model supportNot disclosed by source
Data controlTrust & Security section available on the site · DuckDB v1.4 adds AES-256 encryption · quacklake adds JWT-based authentication · Publishes a Trust & Security section
Learning curveIntermediate
Primary use casesData warehousing and business intelligence, Building and sharing data pipelines, Team collaboration on SQL analytics, Customer-facing embedded analytics at scale, Internal data warehousing, AI workloads via MCP Server, Data warehousing: brings data together for business intelligence and SQL analytics, builds, Customer-facing embedded analytics delivered in milliseconds at scale via a columnar datab, Customer-facing analytics and internal data warehousing, Customer-Facing Analytics, MotherDuck offers Customer-Facing Analytics, MotherDuck positions itself for Data Warehousing + BI with explicit comparison pages again, Supports Customer-Facing Analytics workloads, Supports Data Warehousing + BI workloads, Used for AI Agentic Analytics, Fast, fresh analytics for data-driven applications (For App Devs)
What to verify before adopting
Evolution and major updates
Research in progressMotherduck timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
17 unique pagesRecorded sources
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.
- 1motherduck.com 17 facts · 6 answers · Official site
- 2motherduck.com/case-studies 11 facts · 4 answers · Official site
- 3motherduck.com/duckdb-news 11 facts · 3 answers · Official site
- 4motherduck.com/about-us 12 facts · Official site
- 5motherduck.com/product 11 facts · 1 answer · Official site
- 6motherduck.com/privacy-policy 8 facts · 3 answers · Security
- 7motherduck.com/product/pricing 7 facts · 4 answers · Pricing
- 8motherduck.com/support-policy 10 facts · Official site
- 9motherduck.com/blog 9 facts · Official site
- 10motherduck.com/blog/flight-plans-templates-for-ai-native-data-pipelines 8 facts · 1 answer · Pricing
- 11motherduck.com/product/postgres-integration 1 fact · 1 answer · Official site
- 12motherduck.com/docs/getting-started Documentation
- 13motherduck.com/glossary/api Documentation
- 14motherduck.com/glossary/db-api Documentation
- 15motherduck.com/glossary/db-api-2-0 Documentation
- 16motherduck.com/glossary/relational-api Documentation
- 17motherduck.com/product/app-developers Documentation
Research status120 substantive facts · 17 source pages · quality score 88/100