SQL Databases · Reviewed 19 Oct 2026

MotherDuck

Serverless analytics warehouse built on DuckDB for data teams, app developers, and AI agents.

free tier · motherduck.com ↗

Paid against free › SQL Databases › MotherDuck

Overview

01

Summary

The useful answer before the supporting detail.

MotherDuck is a serverless SQL analytics data warehouse built on DuckDB, offering cloud scale with individualized user-level tenancy S5. It is designed for data teams, app developers, and AI agents who need fast, efficient analytics without managing infrastructure S5. Its main practical value is providing each user with an isolated compute instance, enabling high concurrency and consistent performance S5.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: MotherDuck, a serverless data warehouse built on DuckDB S5.
  • Core purpose: Solves latency and resource contention in traditional data warehouses S5.
  • Intended users: Data teams, app developers, and AI agents S5.
  • Product scope: A single cloud data warehouse product, not a platform family S5.
  • Positioning: Serverless SQL analytics with individualized user-level tenancy S5.
  • Claimed distinction: First analytics warehouse offering cloud scale with user-level tenancy S5.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Data teamsRun serverless SQL analytics on DuckDB without managing infrastructure S5.
App developersBuild and embed customer-facing analytics dashboards in their applications S21.
AI agentsConnect via MCP to inspect catalogs, run SQL, and create Dives S5.
End users of applicationsQuery data through embedded analytics without needing a separate BI tool S21.
BI usersUse read-scaling replicas for BI dashboards and read-only workloads S29.

Features

04

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Managed DuckDB-in-the-cloudRun DuckDB in the cloud for fast, efficient analytics without infrastructure management S5.
HypertenancyEach user, customer, or AI agent gets an isolated DuckDB instance, preventing noisy neighbors S5.
AI agent integrationConnect AI model, ChatGPT, Cursor, or any MCP-compatible agent to MotherDuck for natural-language SQL S5.
Flights (data pipelines)Scheduled Python pipelines that ingest, enrich, and transform data from sources like Postgres, Snowflake, S3, or SaaS APIs S5.
Dives (embedded analytics)Create interactive, customer-facing dashboards and embed them in web apps with an embed snippet S21.
Data sharingShare databases through read-only share objects, allowing consumers to query without copying data S5.
Query external dataQuery data stored in S3 and other S3-compatible object storage S5.
Read-scaling replicasEnable up to 16 read-scaling replicas for BI dashboards and read-only use cases S29.
05

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
MCP ServerAI interfaceLets AI agents inspect catalogs, run SQL, read Guides, create Dives, and manage Flights S5.
DuckDB clients (Golang, Python)APIConnect to MotherDuck using DuckDB clients S5.
BI tools (Omni, Hex, Tableau, Power BI)IntegrationSupports BI and data visualization tools S5.
dbt adapterIntegrationEnables dbt users to work with MotherDuck S5.
AirbyteIntegrationLoads data from operational systems, APIs, files, or event streams S54.
Apache SparkIntegrationWrites Spark DataFrames into MotherDuck-hosted DuckLake database S54.
ADBCAPIVendor-neutral API for connecting to databases and exchanging data in Apache Arrow format S54.
AWS PrivateLinkIntegrationSecure, private connectivity through the AWS network S29.

Pricing

06

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
LiteFrom $0 per org / month S2910 GB free storage S29Pay per query S29
Business$250 per org / month + usage S295 instance types S29Read-scaling replicas S29
EnterpriseCustom S29Custom S29Large-scale deployments S29
Compute$0.60 per CU hour, metered per query S29Not establishedNot established
Storage$0.04 per GB / month S29Not establishedNot established
Instance types$2.40, $4.80, $12.00, $24.00 per hour, billed per second S29Not establishedNot established
SQL AssistantBilled per call S29Not establishedNot established
Dives (embedded)Included in every plan, including free tier S21Not establishedNot established

Trust and proof

07

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
Modern DataToolsMotherDuck Review (2026): Serverless DuckDB in the Cloud / Modern DataToolsGrounded web searchrecommend MotherDuck for small data teams and DuckDB users who want serverless SQL analytics without warehouse infrastructure, especially when a freemium ... . It is a weaker fit for organizations needing proven enterprise-scale governance or adoption
FeaturedCustomers38 MotherDuck Customer Reviews & References / FeaturedCustomersGrounded web search# MotherDuck Read 19 MotherDuck reviews and testimonials from customers, explore 19 case studies and customer success stories, and watch customer videos to see why companies chose MotherDuck as their Cloud Data Warehouse ... Customer Rating Review Score based on 374 reference ratings 4.7/5.0 (374)
SubstackHonest review of MotherDuck - by Daniel BeachGrounded web searchalways ugly and take copious amounts of time to get working correctly. What MotherDuck has done with with DuckDB in the cloud is insane, the entire experience end to end is bullet and idiot proof. As per usually everything DuckDB touches turns to gold.

Customer proof

Proof typeNamed customer or sourceEvidence
Case studyHazelcustomer case study — ### Hazel: Building an AI Co-Worker for E-Commerce on MotherDuck - Hundreds of dbt models on a central MotherDuck warehouse - Hypertenant per-customer databases via CTAS for isolation - Local DuckDB for dev, MotherDuc… (Case Studies / MotherDuck)
Case studyATM.comcustomer case study — ATM.com, a fintech platform serving millions of users, migrates from SingleStore to MotherDuck, transforming their analytics workflow and ML model development. (ATM.com cuts analytics costs by 65% while gaining SQL expressibility)
Case studyUDisccustomer case study — In our POC, a typical query in MotherDuck took 5 seconds, and in Postgres, it still wasn’t complete after 2 minutes. (From minutes to seconds: How UDisc Transformed Disc Golf Analytics with MotherDuck)

Independent mentions

  • Show HN: MotherDuck – a serverless data analytics platform powered by DuckDB / Hacker News — Hi folks.. Co-founder and Head of Produck at MotherDuck. We're building a new type of analytics data platform based on an exciting open source project DuckDB! ... We've built a serverless cloud analytics service - a place for you to store your data, query that data in SQL, share and collaborate, and leverage MotherDuck using a plethora of third party tools like dbt, HEX, and cloudquery. However, we did something very unique again - and something that's only possible with DuckDB. For any DuckDB i
  • Shameless plug - MotherDuck 0 is a serverless managed DuckDB data warehouse wit... / Hacker News — plug - MotherDuck 0 is a serverless managed DuckDB data warehouse with some interesting properties: - Managed storage with zero-copy clone (and upcoming time travel) - Secure Sharing ... that allows folks to combine client (WASM, UI, CLI, etc)
  • How Gardyn Reduced Analytics Pipeline from 24+ Hours to Under One Hour — We needed a data warehouse that could ingest once-a-day updates from all of our sources quickly and easily. The team at Hashboard recommended MotherDuck, and we evaluated it against other options. MotherDuck was easy to use, it ended up meeting all of our requirements, and it was 10x cheaper than the leading data warehouses.

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

08

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipThe idea for MotherDuck came after Jordan Tigani, MotherDuck co-founder and chief duck-herder, saw DuckDB in action and thought, “Wow, this is amazing! someone should really build a serverless version.” At Google, Jordansource
Contact and supportRestrict access to your organization to approved IP addresses. Contact us about IP allowlisting for more detailssource
Legal and privacyNo. Joining saves your spot. There's nothing to pay and nothing to cancel.source
Security and complianceSingle Sign-On (SSO) via standards-based SAML & OIDC (Okta, Entra ID, Google Workspace). Learn more about Single Sign-Onsource
Uptime and status pageGuaranteed uptime for your production workloads. Learn more about Availability SLAsource
Domain registered2008-06-01—
Domain expires2028-06-01—

Every trust signal above is backed by a collected page or a registration record.

09

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Integrations / MotherDuck DocsDocumentationIntegrations that work with MotherDuck from the modern data stack (source)Not dated
Contact and supportSupportPublic contact and support channel. (source)Not dated
Contact and supportSupportPublic contact and support channel. (source)Not dated
MotherDuck / The Cloud Data Warehouse Built on DuckDBProduct updateProduct update is publicly available. (source)Not dated
What’s New: Streamlined User Management, Metadata, and UI Enhancements / MotherDuckRelease notesPublic product change history. (source)Not dated

Not found in the collected public sources: public roadmap, status page, separate help center or knowledge base.

Technical

10

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Serverless cloud data warehouse S5.S5
Platforms and appsWeb-based UI and supported interfaces S5.S5
API and extensibility (API, SDK, webhooks, MCP, plugins)MCP Server for AI agents S5; ADBC API S54.S5 S54
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsEach user gets their own compute instance for consistent performance S5.S5
Release activityNot published on the collected pages.—
11

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2008-06-01 — GoDaddy.com, LLC
Domain expires2028-06-01
TLS certificateLet's Encrypt, valid, expires 2026-11-23
Security headersHSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headerVercel
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserversns-979.awsdns-58.net, ns-1392.awsdns-46.org

Not measurable: wayback: rate limited by archive.org, ladder stopped after 1 probe(s); rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

Limits and method

12

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors. Evidence gaps include lack of detailed security certifications, uptime statistics, and customer counts. Open questions include on-premises availability, which is not established S29.

13

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from motherduck.com, including product, pricing, integrations, and about pages. Evidence was gathered via static and browser rendering rendering. External proof search was enabled but did not verify additional sources. Limitations: no independent reviews or customer case studies were collected; pricing and features are as published on the site.

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