MotherDuck
MotherDuck operates a serverless cloud data warehouse built on DuckDB, offering per-tenant isolated compute (Hypertenancy), a Postgres-compatible endpoint, an MCP Server for AI agents, and a managed DuckLake lakehouse. It serves data teams, application developers, AI agent builders, startups, and enterprises across four AWS regions.
- Company typePrivate
- Founded2022
- HeadquartersSeattle, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What MotherDuck does
MotherDuck, founded in 2022 by Jordan Tigani (former Google/BigQuery executive) and co-founder Ryan Boyd, is a Seattle-based privately held company that operates a serverless cloud data warehouse built on the open-source DuckDB in-process analytical database. Its flagship architecture, branded Hypertenancy, provisions a dedicated DuckDB instance (a "Duckling") per user or tenant, sized across five tiers (Pulse to Giga) and auto-scaled to zero when idle to eliminate noisy-neighbor effects and idle compute cost. Adjacent products include a Postgres-compatible endpoint, a WebAssembly SDK for browser-side execution, a Dual Execution query engine (with a peer-reviewed CIDR paper) that routes SQL across local, in-browser, and cloud compute, and a native MCP (Model Context Protocol) Server that lets AI agents such as Claude, ChatGPT, Gemini, and Cursor query MotherDuck databases via natural language.
The platform has expanded into a broader agent-native data stack: DuckLake is a managed open table lakehouse format co-developed with DuckDB Labs that stores metadata in a SQL database rather than thousands of manifest files; Dives are AI-built interactive visualizations; and Flights (launched June 2026) are agent-managed scheduled Python pipelines. MotherDuck sells through three plans (Lite free, Business at $250 per organization per month plus usage, and Enterprise custom with HIPAA BAA, AWS PrivateLink, and fixed-cost capacity pricing), distributed globally across four AWS regions (N. Virginia, Oregon, Frankfurt, Dublin), and backed by a 40+ technology partner ecosystem plus 10 consulting partners.
The company combines a product-led growth motion (free Lite tier, self-serve signup, 7-day Business trial) with enterprise field sales and channel partners, and has raised approximately $100 million in cumulative funding across a seed and Series A led by Redpoint and Andreessen Horowitz respectively, plus a subsequent $52.5M Series B led by Felicis. By mid-2026 it had reached approximately 850 paying customers across roughly 18 months of commercialization, was named a 2026 GeekWire Next Tech Titan finalist, and maintains SOC 2 Type II and GDPR compliance with HIPAA BAA available on Enterprise contracts.
MotherDuck firmographics
Firmographics- Name
- MotherDuck
- Legal name
- MotherDuck Corp.
- Website
- https://motherduck.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- MotherDuck operates a serverless cloud data warehouse built on DuckDB, offering per-tenant isolated compute (Hypertenancy), a Postgres-compatible endpoint, an MCP Server for AI agents, and a managed DuckLake lakehouse. It serves data teams, application developers, AI agent builders, startups, and enterprises across four AWS regions.
- Ownership category
- akta.pro rank
MotherDuck industry classification
Industry- Product category
- Cloud Data Warehouse
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Serverless & Functions-as-a-Service (FaaS) (HDABAAAC)
- akta.pro secondary industries
- Cloud Managed Services (M365/Azure/AWS/GCP) (BPAEABAE), Private Cloud Platforms (On‑Prem Cloud Stacks) (HDABABAA)
Keywords
Where MotherDuck is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
MotherDuck business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales
Revenue model
- Subscription (Business Plan): Recurring $250 per organization per month Business plan tier with platform access, unlimited service accounts, support, and 99.9% availability SLA. Includes 7-day free trial; annual pre-paid commitments available.
- Usage-Based Compute & Storage: Per-second metered compute charges across five Duckling instance sizes ($0.60 to $36.00 per hour), plus storage at $0.04 per GB per month, and AI Units at $1.00 per unit. Drives land-and-expand economics as customers scale workloads.
- Freemium (Lite Plan): Free Lite tier priced at $0 with up to 3 internal active users, 2 service accounts, 10 GB storage, and 10 hours of Pulse compute per month. Drives product-led acquisition and conversion to paid Business/Enterprise plans.
- Enterprise Custom Contracts: Custom-priced Enterprise tier offering unlimited internal users and service accounts, fixed-cost capacity pricing, AWS PrivateLink connectivity, HIPAA BAA, priority support, and custom availability SLA. Typically multi-year contracts.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Lite free tier: up to 3 internal users, 10 GB storage, 10 hrs Pulse compute/month |
| Hybrid | Monthly | Business plan at $250 per org/month plus usage with 5 instance types and Flights |
| Hybrid | Multi-year contract | Enterprise custom plan with unlimited users, fixed-cost pricing, and HIPAA BAA |
| Usage-based | Pay-as-you-go | Compute instances billed per second across Pulse, Standard, Jumbo, Mega, Giga |
| Usage-based | Pay-as-you-go | Storage at $0.04 per GB per month, AI Units at $1.00 |
Go-to-market motion4 records
Distribution channels4 records
Marketing channels9 records
MotherDuck product offering
Product offeringCore offering
MotherDuck is a serverless cloud data warehouse built on the open-source DuckDB in-process analytical database. The platform delivers sub-second analytical query performance through a Hypertenancy architecture that provisions a dedicated DuckDB instance ("Duckling") per user or tenant, with per-second compute billing that scales to zero when idle. It offers dual execution across local DuckDB and cloud compute, a Postgres-compatible endpoint, a WebAssembly SDK for browser-side execution, and a Model Context Protocol (MCP) server that lets AI agents query data via natural language.
Product overview
MotherDuck is a unified platform-plus-modules product: a single serverless cloud data warehouse (the MotherDuck Data Warehouse, built on DuckDB) anchors the portfolio, while Hypertenancy provides the per-user isolated-compute architecture, the MotherDuck MCP Server enables natural-language agent access, DuckLake adds a managed open lakehouse table format, Dives offers AI-built shareable visualizations, and Flights provides agent-native data pipelines. The flagship warehouse can be used as a turnkey cloud data warehouse (MotherDuck for Data Teams) or embedded in customer applications as customer-facing analytics (MotherDuck for App Developers); AI capabilities (MCP Server, Dives, Flights) and the DuckLake lakehouse layer sit on top of the same warehouse core.
Differentiator
Problem solved
Functional benefit
Brands
- DuckLake: Open table lakehouse format managed within the MotherDuck platform, supporting petabyte-scale, SQL-native lakehouse functionality.
- Flights
- Dives
- MotherDuck MCP Server
Products and services
- MotherDuck Cloud Data Warehouse A serverless cloud data warehouse built on DuckDB, delivering fast, serverless analytics for both production apps and internal insights. Available across multiple AWS regions with per-second billing and Duckling-based hypertenancy.
- Hypertenancy Dedicated, fully isolated compute model that gives each user, customer, or AI agent its own Duckling sized independently and scaled to zero when idle, providing sub-second query performance without resource contention. Includes read-scaling replicas for read-heavy workloads.
- MotherDuck MCP Server Model Context Protocol server that connects Claude, ChatGPT, Gemini, and other AI agents directly to MotherDuck databases, turning natural language questions into accurate, traceable SQL queries with fully sandboxed compute via hypertenancy.
- DuckLake Managed open table format that stores metadata in a database rather than thousands of files, delivering petabyte-scale lakehouse with SQL-first ACID transactions, snapshotting, time travel, and 100x faster metadata operations. Available as fully managed service or with bring-your-own-bucket.
- Dives AI-built interactive, shareable visualizations generated by natural-language prompts via an MCP-aware agent (Claude, ChatGPT, Cursor). Dives query live data using dual execution for snappy performance and can be embedded directly in applications via the Embedded Dives API.
- Flights Agent-native scheduled Python jobs running on a dedicated Python runtime inside MotherDuck, handling ingestion, transformation, and maintenance. Created via MCP-aware agents, the MotherDuck UI, or SQL table functions such as md_create_flight. Billed per second for compute consumed.
- MotherDuck for App Developers (Customer-Facing Analytics) Customer-facing analytics offering that delivers millisecond, serverless analytics inside applications via per-customer Ducklings, an optional Wasm SDK in the browser, dual execution, a Postgres-compatible endpoint, and embeddable Dives for embedded analytics.
- MotherDuck for Data Teams (Data Warehousing + BI) Data warehousing offering for analysts with per-user Duckling tenancy, dual execution across local and cloud, an AI-enabled UI (FixIt, Column Explorer), notebook-style SQL and Python workflow, and database sharing. Handles many terabytes of data via DuckDB's columnar, vectorized execution.
Quantifiable outcome
- UDisc reduced dbt job runtime from 6 hours to 30 minutes (12x faster) by switching to MotherDuck
- +5 more outcomes
Companies that use MotherDuck
Customer profileNamed customers15 records
Segments5 records
Ideal customer profiles5 records
MotherDuck technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration67 records
AI capability9 records
Feature10 records
MotherDuck partnerships and signals
Strategic signalPartnerships
80 partnerships are on record, tiered major technology partner — enables automated data pipeline management directly on motherduck's serverless platform., minor co-marketing partner (single event co-host during ai council week in san francisco)., flagship open-source partner — duckdb's ducklake table format was launched with motherduck's planned hosted ducklake solution announced as a launch partner., flagship strategic partner — co-creates the shared product roadmap and brings duckdb's query engine improvements from local machines to the cloud as a managed service., core ai agent distribution partner — chatgpt connector lets users query motherduck via natural language., core ai agent distribution partner — claude.ai connector plus mcp integration., major developer tools partner — mcp integration gives cursor ai agent live access to motherduck databases., flagship transformation partner — dbt integrates natively with motherduck as a transformation layer., flagship ingestion partner — fivetran lists motherduck as a destination., flagship bi partner — tableau desktop, tableau server, and tableau cloud all supported., major bi partner — power bi integrates via duckdb power query connector., flagship orchestration partner — native airflow operators for motherduck., flagship orchestration partner — multiple named customer case studies (gardyn, udisc, trunkrs) use the pair., flagship bi/notebooks partner — multiple named customer case studies (emora health, udisc, gardyn, atm.com)., major bi partner — native motherduck integration; customer case studies (kultura capital, pricemedic)., major ingestion partner — open-source + cloud integration., major transformation partner — customer case study (atm.com)., major data quality partner — observability integration., major reverse etl partner — bidirectional sync including high-scale cdc., major data science partner — reactive notebooks with motherduck., major ai/llm framework partner — framework integration., ai/llm framework partner — unstructured + structured data integration., major bi partner — postgres endpoint integration; customer case study (trunkrs)., major open-source bi partner., major cdc/streaming ingestion partner., embedded bi partner — warehouse-native bi with white-labelling., ai app builder partner — mcp integration., major ingestion partner — open-source data loading tool., internal tools/data apps partner., data apps framework partner., semantic layer / api analytics partner., ingestion partner., data quality partner., major bi partner., open-source bi partner., dbt transformation partner., orchestration partner., reverse etl partner., open-source bi partner (dbt-native)., open-source bi partner; customer case study (reflex)., local llm runtime partner for rag., customer engagement reverse etl partner., cdc streaming ingestion partner., streaming data partner., streaming cdc partner., managed airflow partner., real-time analytics partner., elt platform partner; customer case study (trunkrs)., developer tool partner (ide)., notebook / data science partner., ai-driven bi partner., ai-native analytics partner., end-to-end data platform partner., bi partner., self-service bi partner., embedded analytics partner., cloud bi partner (apache superset)., unstructured data ingestion partner., orchestration partner (referenced on homepage ecosystem)., data quality partner (referenced on homepage ecosystem)., data governance/quality partner (referenced on homepage ecosystem)., dev tools / graph analytics partner., collaborative data science partner., notebook partner (referenced on homepage ecosystem)., vertical ingestion partner., major european consulting partner., dach region consulting partner., france consulting partner., european consulting partner., north america consulting partner. and minor co-marketing partner (co-hosted single event)..
- Ascend.iomajor technology partner — enables automated data pipeline management directly on motherduck's serverless platform.Ascend.io and MotherDuck announced a partnership to enable automated data pipeline management on MotherDuck's serverless platform. The integration allows teams to build, manage, and monitor data pipelines more efficiently with reduced operational overhead, leveraging Ascend's AI-driven agents and best practices in DataOps.
- Theory Venturesminor co-marketing partner (single event co-host during ai council week in san francisco).Theory Ventures hosted a networking event 'Ship It: Dinner & Drinks on a Boat' in San Francisco during AI Council week. MotherDuck and LanceDB were listed as co-hosts of the event, bringing together AI and data infrastructure builders, operators, and technical leaders.
- DuckDB Project (open source)flagship open-source partner — duckdb's ducklake table format was launched with motherduck's planned hosted ducklake solution announced as a launch partner.MotherDuck is publicly supporting the new DuckDB DuckLake table format and is planning a hosted DuckLake solution. MotherDuck co-founder Jordan Tigani (former Google/BigQuery executive) is closely involved.
- DuckDB Labs (DuckLabs)flagship strategic partner — co-creates the shared product roadmap and brings duckdb's query engine improvements from local machines to the cloud as a managed service.Strategic partnership referenced on MotherDuck's pricing page: 'MotherDuck's strategic partnership with DuckLabs brings the fast improving efficiencies of DuckDB's query engine from local machines to the cloud as a managed service. Working closely with the DuckLabs team has helped us co-create a shared vision for the future of blazing fast analytics.' The 2022 funding round was also intended for collaboration with DuckDB Labs.
- OpenAI (ChatGPT)core ai agent distribution partner — chatgpt connector lets users query motherduck via natural language.MotherDuck is available as a connector for ChatGPT, allowing users to connect their MotherDuck data warehouse directly to ChatGPT and explore data with natural language. ChatGPT acts as an AI-powered data analyst iterating through exploration, validation, and visualization. Additionally, OpenAI models serve as a provider for MotherDuck's in-database AI SQL functions (prompt()), letting analysts call GPT models directly from SQL.
- Anthropic (Claude)core ai agent distribution partner — claude.ai connector plus mcp integration.MotherDuck is available as a connector on Claude.ai, allowing users to connect their MotherDuck data warehouse directly to Claude. Users can explore and analyze data using natural language — no SQL skills required. Provides safe, read-only access and works with messy, real-world data without requiring a semantic model.
- Cursormajor developer tools partner — mcp integration gives cursor ai agent live access to motherduck databases.Cursor connects to MotherDuck through the Model Context Protocol (MCP). By adding MotherDuck's MCP server to Cursor, the editor's AI agent can explore database schemas, run SQL queries, and reason about real data while writing or refactoring code.
- dbt Labsflagship transformation partner — dbt integrates natively with motherduck as a transformation layer.dbt integrates with MotherDuck by allowing users to perform data transformations and analytics directly within the MotherDuck cloud data warehouse. Since both dbt and DuckDB can run locally, users can develop and test using the same technologies they run in production.
- Fivetranflagship ingestion partner — fivetran lists motherduck as a destination.Fivetran integrates with MotherDuck by seamlessly connecting to it as a destination for data ingestion. Users can set up Fivetran to automatically extract data from various sources and load it directly into MotherDuck, leveraging MotherDuck's high-performance analytical capabilities.
- Tableauflagship bi partner — tableau desktop, tableau server, and tableau cloud all supported.Tableau integrates with MotherDuck by allowing users to connect directly to their MotherDuck cloud data warehouse. This integration enables seamless data querying and visualization, leveraging DuckDB's efficient query engine for fast and interactive analytics.
- Microsoft Power BImajor bi partner — power bi integrates via duckdb power query connector.Microsoft Power BI integrates with MotherDuck by connecting to the cloud data warehouse capabilities provided by MotherDuck, which is based on DuckDB. The DuckDB Power Query connector enables Power BI to query MotherDuck directly.
- Apache Airflowflagship orchestration partner — native airflow operators for motherduck.Apache Airflow integrates with MotherDuck by leveraging custom operators to connect to the MotherDuck cloud data warehouse. This allows users to execute SQL queries and manage data workflows directly within the Airflow environment.
- Dagsterflagship orchestration partner — multiple named customer case studies (gardyn, udisc, trunkrs) use the pair.Dagster integrates with MotherDuck by leveraging DuckDB's capabilities within its orchestration workflows, enabling data engineers to run efficient, in-memory SQL queries on data stored in MotherDuck.
- Hexflagship bi/notebooks partner — multiple named customer case studies (emora health, udisc, gardyn, atm.com).Hex integrates with MotherDuck by allowing users to connect their Hex notebooks directly to MotherDuck's cloud data warehouse, enabling SQL queries on MotherDuck's DuckDB-based backend.
- Omnimajor bi partner — native motherduck integration; customer case studies (kultura capital, pricemedic).Omni integrates with MotherDuck by allowing users to connect directly to MotherDuck's cloud data warehouse. Investment and healthcare teams (Kultura Capital, PriceMedic) use Omni with MotherDuck.
- Airbytemajor ingestion partner — open-source + cloud integration.Airbyte integrates with MotherDuck by facilitating the extraction, transformation, and loading (ETL) of data from numerous sources directly into the MotherDuck cloud data warehouse.
- SQLMeshmajor transformation partner — customer case study (atm.com).SQLMesh integrates with MotherDuck by leveraging DuckDB's capabilities within the MotherDuck cloud data warehouse, enabling SQLMesh users to perform efficient data transformations and analytics directly on data stored in MotherDuck.
- Monte Carlomajor data quality partner — observability integration.Monte Carlo integrates with MotherDuck to offer comprehensive data observability for data stored and processed within the MotherDuck cloud data warehouse, monitoring data quality, lineage, and performance metrics.
- Polytomicmajor reverse etl partner — bidirectional sync including high-scale cdc.Polytomic can sync data with MotherDuck in both directions: from PostgreSQL, SaaS apps (Stripe, Salesforce, Zendesk), S3, etc., into MotherDuck, and from MotherDuck out to SaaS tools and spreadsheets.
- Marimomajor data science partner — reactive notebooks with motherduck.Marimo integrates with MotherDuck to provide an interactive data analysis experience, allowing users to connect directly to their MotherDuck data warehouse using SQL cells or the DuckDB Python API, create dynamic visualizations, and build interactive dashboards.
- LangChainmajor ai/llm framework partner — framework integration.LangChain integrates with MotherDuck to enable seamless interaction between LLM-powered applications and MotherDuck's cloud data warehouse, leveraging DuckDB's efficient in-process querying and MotherDuck's scalable cloud infrastructure.
- LlamaIndexai/llm framework partner — unstructured + structured data integration.LlamaIndex.ai integrates with MotherDuck by leveraging DuckDB's capabilities to query structured data efficiently within the MotherDuck cloud data warehouse environment, combining unstructured data handling with high-performance structured querying.
- Lookermajor bi partner — postgres endpoint integration; customer case study (trunkrs).Looker integrates with MotherDuck through the Postgres endpoint, which exposes MotherDuck to Looker as a Postgres-compatible connection, enabling analytics teams to model MotherDuck data in LookML and serve dashboards.
- Superset / Presetmajor open-source bi partner.Apache Superset integrates with MotherDuck by connecting to it as a SQL-based data source. Preset, a commercial cloud platform based on Apache Superset, is also supported.
- Estuarymajor cdc/streaming ingestion partner.Estuary integrates with MotherDuck by enabling real-time CDC data ingestion and synchronization into the MotherDuck cloud data warehouse, leveraging Estuary's robust data movement capabilities.
- Astrato Analyticsembedded bi partner — warehouse-native bi with white-labelling.Astrato integrates with MotherDuck to deliver production-grade embedded analytics using an intuitive drag-and-drop builder, enabling teams to create pixel-perfect, white-labelled dashboards that query MotherDuck in real time.
- Lovableai app builder partner — mcp integration.Lovable connects to MotherDuck through the Model Context Protocol (MCP), letting Lovable's AI agent access MotherDuck databases as a live data source to build data apps.
- dlt (dltHub)major ingestion partner — open-source data loading tool.dlt integrates with MotherDuck by enabling users to load data directly into the MotherDuck cloud data warehouse, leveraging dltHub's flexible ETL capabilities.
- Retoolinternal tools/data apps partner.Retool integrates with MotherDuck as a native data source, letting builders connect a Retool app directly to a MotherDuck database and run SQL queries against it.
- Streamlitdata apps framework partner.Streamlit can be integrated with MotherDuck to create interactive data applications that leverage the power of DuckDB in the cloud, querying and visualizing data stored in MotherDuck.
- Cubesemantic layer / api analytics partner.Cube integrates with MotherDuck by leveraging its DuckDB-based architecture to efficiently query and analyze data stored in the MotherDuck cloud data warehouse.
- Hevo Dataingestion partner.Hevo integrates with MotherDuck by moving data from 150+ sources via Amazon S3 into MotherDuck's cloud data warehouse, keeping datasets fresh and instantly queryable.
- Sodadata quality partner.Soda integrates with MotherDuck to ensure high data quality within the MotherDuck cloud data warehouse environment by monitoring and testing data stored in MotherDuck.
- GoodDatamajor bi partner.GoodData integrates with MotherDuck by leveraging MotherDuck's DuckDB-powered cloud data warehouse capabilities, allowing GoodData users to seamlessly query and visualize data stored in MotherDuck.
- Evidenceopen-source bi partner.Evidence integrates with MotherDuck by connecting directly to the MotherDuck cloud data warehouse, allowing users to run SQL queries and build interactive reports and dashboards with real-time data.
- Paradimedbt transformation partner.Paradime dbt platform integrates with MotherDuck by allowing users to connect their dbt projects directly to the MotherDuck cloud data warehouse.
- Kestraorchestration partner.Kestra integrates with MotherDuck by leveraging its flexible plugin system to connect with the cloud data warehouse capabilities of MotherDuck.
- Mageorchestration partner.Mage integrates with MotherDuck by allowing users to create data pipelines that connect to MotherDuck's cloud data warehouse.
- CloudQueryingestion partner.CloudQuery integrates with MotherDuck by allowing users to load and transform data from multiple cloud sources directly into the MotherDuck cloud data warehouse.
- Censusreverse etl partner.Census integrates with MotherDuck by using MotherDuck's cloud data warehouse capabilities built on DuckDB, syncing and transforming data stored in MotherDuck to various business applications and SaaS tools.
- Lightdashopen-source bi partner (dbt-native).Lightdash integrates with MotherDuck, querying data directly from the MotherDuck cloud, combining Lightdash's dbt-native metrics-as-code approach with MotherDuck's serverless DuckDB performance.
- Metabaseopen-source bi partner; customer case study (reflex).Metabase integrates with MotherDuck by connecting directly to the MotherDuck cloud data warehouse, leveraging DuckDB's fast analytical query performance.
- Ollamalocal llm runtime partner for rag.Ollama can use MotherDuck as a DuckDB-based backend for Retrieval Augmented Generation (RAG) of LLM results.
- OneSignalcustomer engagement reverse etl partner.OneSignal feeds events from MotherDuck to power push notifications, in-app messages, email, and SMS via its omnichannel engagement platform.
- Artiecdc streaming ingestion partner.With Artie's MotherDuck integration, users can stream data from sources like PostgreSQL, SQL Server, and MySQL into MotherDuck's cloud data warehouse for analytical queries.
- Bytewaxstreaming data partner.Bytewax is an open-source framework and distributed stream processing engine for building streaming data pipelines and real-time apps.
- Streamkapstreaming cdc partner.Streamkap is a streaming ETL and change data capture platform built on Apache Kafka and Flink with sub-second latency for loading data into MotherDuck.
- Sling Dataingestion partner.Sling Data integrates with MotherDuck by leveraging its comprehensive connector library to facilitate seamless data transfer and synchronization between various data sources and the MotherDuck cloud data warehouse.
- Astronomermanaged airflow partner.Astronomer Airflow can be integrated with MotherDuck by orchestrating data workflows that involve querying, analyzing, and transforming data within the MotherDuck cloud data warehouse.
- Rill Datareal-time analytics partner.Rill Data integrates with MotherDuck by leveraging its cloud-based DuckDB architecture to store and query large datasets efficiently.
- Meltanoelt platform partner; customer case study (trunkrs).Meltano integrates with MotherDuck by utilizing its ability to connect to DuckDB-based data warehouses, allowing data teams to extract, load, and transform data directly within MotherDuck's scalable cloud environment.
- DataGrip (JetBrains)developer tool partner (ide).DataGrip integrates with MotherDuck by leveraging its JDBC connector to connect to the MotherDuck cloud data warehouse, enabling users to execute queries and manage schemas.
- Google Colabnotebook / data science partner.Google Colab can integrate with MotherDuck by utilizing the DuckDB Python API within the Colab environment, allowing analysts and data scientists to connect to the MotherDuck cloud data warehouse directly from Colab notebooks.
- Querioai-driven bi partner.Querio integrates with MotherDuck by allowing users to connect their Querio workspace directly to MotherDuck's cloud data warehouse, running SQL against MotherDuck's DuckDB-based backend.
- Livedocsai-native analytics partner.Livedocs integrates directly with MotherDuck's DuckDB-based cloud platform, allowing data agents to inspect schemas, generate SQL, run queries, and create charts automatically on MotherDuck.
- Bruinend-to-end data platform partner.Bruin brings together data ingestion, transformation using SQL and Python, data quality and governance with MotherDuck.
- Zenlyticbi partner.Zenlytic integrates with MotherDuck by leveraging MotherDuck's cloud data warehouse capabilities for efficient data storage and querying.
- Holisticsself-service bi partner.Holistics helps data teams set up self-service BIs with MotherDuck as a backend.
- Exploembedded analytics partner.Explo connects directly to MotherDuck to provide embedded analytics; teams can build and embed responsive dashboards powered by MotherDuck without data movement or extra engineering.
- Presetcloud bi partner (apache superset).Preset integrates with MotherDuck by connecting to it as a SQL-based data source, enabling seamless data visualization and exploration.
- Unstructuredunstructured data ingestion partner.Unstructured automatically transforms complex, unstructured data (PDFs, presentations, emails) into clean, structured data for GenAI applications, with MotherDuck as a destination.
- Prefectorchestration partner (referenced on homepage ecosystem).Prefect is an orchestration partner listed on the MotherDuck homepage ecosystem under the Orchestration category.
- Great Expectationsdata quality partner (referenced on homepage ecosystem).Great Expectations is listed as a data quality partner on the MotherDuck homepage ecosystem.
- Secodadata governance/quality partner (referenced on homepage ecosystem).Secoda is listed as a data quality partner on the MotherDuck homepage ecosystem.
- PuppyGraphdev tools / graph analytics partner.PuppyGraph integrates with MotherDuck by utilizing DuckDB's efficient analytical capabilities as a backend for storing and querying graph data.
- DataLabcollaborative data science partner.DataLab integrates with MotherDuck by allowing users to connect directly to MotherDuck's cloud data warehouse, leveraging DuckDB's efficient querying capabilities.
- Jupyternotebook partner (referenced on homepage ecosystem).Jupyter is referenced as a data science & AI partner on the MotherDuck homepage ecosystem.
- Polytomicreverse etl partner.Polytomic supports ELT, ETL, CDC streaming, and Reverse ETL with MotherDuck in both directions (sync in and sync out).
- Inecta ETLvertical ingestion partner.inectaETL provides pre-configured data transformations from Microsoft Business Central pipelined into MotherDuck.
- Artefactmajor european consulting partner.Artefact is a leading global consulting company with 2,000 employees across 33 offices in 26 countries, dedicated to accelerating the adoption of data and AI. MotherDuck is one of their Modern Data Stack partners.
- Codecentricdach region consulting partner.Codecentric AG is a leading German IT consultancy with deep expertise in Data & AI, providing practical solutions along the entire data value chain for MotherDuck implementations in the DACH region.
- Corail Analyticsfrance consulting partner.Corail Analytics is a French data consultancy specializing in data analysis & BI, self-service analytics, embedded analytics, data platform migration, and end-to-end data projects with MotherDuck.
- Tasmaneuropean consulting partner.Tasman is an analytics agency that turns data into meaningful business value, partnering with teams to build modern infrastructure, unlock insights, tackle migrations, and AI implementation with MotherDuck.
- Xebiaeuropean consulting partner.Xebia is a pioneering Software Engineering and IT consultancy company transforming and executing at the intersection of Domain and Technology, with MotherDuck as a partner.
- Astrodatanorth america consulting partner.Astrodata provides expert data engineering, analytics, software engineering and AI services to develop data + product strategy, implement embedded analytics and AI products with MotherDuck.
- CorrDynnorth america consulting partner.CorrDyn is a data-driven technology consultancy that enables scalable and affordable growth with MotherDuck.
- Endeavor Labsnorth america consulting partner.Endeavor Labs helps organizations realize the potential of data and AI to power digital transformation with MotherDuck.
- Shearwaternorth america consulting partner.Shearwater is a specialized data consultancy focused on Self-Service Analytics founded by Looker alumni with 15+ years of experience in BI, working with MotherDuck.
- Silver Creek Insightsnorth america consulting partner.Silver Creek Insights (SCi) helps companies increase revenue and operate more efficiently with data and AI on MotherDuck.
- LanceDBminor co-marketing partner (co-hosted single event).LanceDB was listed as a co-host alongside MotherDuck for Theory Ventures' 'Ship It: Dinner & Drinks on a Boat' networking event during AI Council week in San Francisco in November 2025.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
MotherDuck competitors and assessment
Company assessmentBroad incumbents
- Snowflake: Snowflake is the dominant cloud data warehouse serving enterprise analytics workloads with shared multi-tenant compute. MotherDuck explicitly compares itself to Snowflake on pricing and per-second economics, making it the most direct broad incumbent peer.
- Databricks: Databricks offers a unified lakehouse platform combining data warehousing, data lake storage, and AI/ML. MotherDuck's DuckLake positions against Delta Lake, and both serve data engineering and AI use cases, making Databricks a direct incumbent peer.
- Amazon Redshift: Redshift is AWS's cloud data warehouse service, deeply integrated with the AWS ecosystem. MotherDuck runs on AWS but positions against Redshift on cost, per-second billing, and developer experience, making it a direct cloud-data-warehouse incumbent.
- Google BigQuery: BigQuery is Google's fully managed serverless cloud data warehouse with petabyte-scale analytics. MotherDuck's CEO Jordan Tigani was a former BigQuery executive, and MotherDuck lists BigQuery as a primary competitor, making it a foundational incumbent peer.
Direct peers
- Starburst: Starburst offers a Trino-based data lake analytics platform for federated querying across data lakes and warehouses. It is comparable to MotherDuck in targeting data teams that want to query open data formats (Iceberg, Delta) without moving data into a proprietary warehouse.
- Firebolt: Firebolt is a cloud data warehouse purpose-built for sub-second analytics on large datasets, with a decoupled storage and compute architecture. Like MotherDuck, Firebolt targets customer-facing analytics and developer-led data teams, making it a closely comparable emerging peer.
- ClickHouse: ClickHouse is a columnar OLAP database with a managed cloud service focused on sub-second analytical queries. MotherDuck explicitly lists itself as an alternative to ClickHouse, and both target low-latency analytics on large datasets with per-second compute pricing.
- Dremio: Dremio is a lakehouse platform built on Apache Arrow/Iceberg providing SQL analytics directly on data lake storage. MotherDuck's DuckLake lakehouse format and direct-query positioning make Dremio a comparable lakehouse peer in the open-table-format era.
Emerging players
- Neon: Neon is a serverless Postgres service with scale-to-zero compute and per-tenant isolation. MotherDuck's Hypertenancy, per-second billing, and Postgres-compatible endpoint are architecturally similar patterns applied to OLAP, making Neon a closely comparable serverless-database peer.
- DuckDB Labs: DuckDB Labs stewards the open-source DuckDB OLAP database that MotherDuck is built on. As the upstream project maintainer and a strategic co-development partner to MotherDuck, it is a closely linked peer (and partially an enabler) for the in-process analytics category.
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Funding detail is available on the Subscription and Enterprise plan.Contact sales →
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M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about MotherDuck
What does MotherDuck do?
MotherDuck is a serverless cloud data warehouse built on the open-source DuckDB in-process analytical database. The platform delivers sub-second analytical query performance through a Hypertenancy architecture that provisions a dedicated DuckDB instance ("Duckling") per user or tenant, with per-second compute billing that scales to zero when idle. It offers dual execution across local DuckDB and cloud compute, a Postgres-compatible endpoint, a WebAssembly SDK for browser-side execution, and a Model Context Protocol (MCP) server that lets AI agents query data via natural language.
Is MotherDuck a public or private company?
MotherDuck is a private company. It is classified as venture growth investor backed and is currently operating.
When was MotherDuck founded?
MotherDuck was founded in 2022. It employs 101 to 250 people.
Where is MotherDuck based?
MotherDuck is headquartered in Seattle, United States, in the North America region.
How does MotherDuck make money?
Four revenue lines are on record. Subscription (Business Plan) is the primary driver. The others are usage-Based Compute & Storage, freemium (Lite Plan) and enterprise Custom Contracts.
Who are MotherDuck's main competitors?
Broad incumbents on record are Snowflake, Databricks, Amazon Redshift and Google BigQuery. Direct peers are Starburst, Firebolt, ClickHouse and Dremio. Emerging players are Neon and DuckDB Labs.
Does MotherDuck have an API?
Yes. MotherDuck offers an MCP (Model Context Protocol) Server that lets developers and AI agents query data using natural language, with tools including list_databases, search_catalog, ask_docs_question, and query. It also provides a REST API for admin operations such as provisioning service accounts, scaling compute, and managing Ducklings. Official clients/drivers are available in Python, Node.js, WebAssembly, and Golang, with SSO via SAML/OIDC for authentication. Developer documentation is at motherduck.com/docs/sql-reference/mcp.
What industry is MotherDuck in?
MotherDuck's product category is Cloud Data Warehouse. Its primary akta.pro industry code is HDABAAAC, Serverless & Functions-as-a-Service (FaaS), with a secondary code of BPAEABAE, Cloud Managed Services (M365/Azure/AWS/GCP). Its NAICS code is 5182 and its SIC code is 7372.