MotherDuck
MotherDuck provides a serverless cloud data warehouse built on DuckDB, combining local and cloud analytics with isolated compute and no infrastructure management. Its current product direction emphasizes fast, cost-efficient analytics for data teams, application developers, and AI agents.
At a Glance
- Data teams
- Data engineers and analysts
- Application and SaaS developers
- AI-agent builders
- +3 more
AI Tools by MotherDuck
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MotherDuck
Serverless DuckDB Cloud Data Warehouse
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Latest News
Data Engineering Is the Cache Invalidation Problem ft. Josh Wills
Build It Yourself: What You'll Make at the Data Outpost Workshops
Announced AWS Marketplace availability and expanded European cloud coverage/release updates
MotherDuck is Landing in Europe: announced its first EU cloud region for data residency and low-latency analytics
Products & Services
Serverless cloud data warehouse powered by DuckDB, with hybrid execution across local and cloud data, SQL analytics, shared storage, isolated per-user compute, and usage-based scaling.
MCP-compatible interface that lets Claude, ChatGPT, Gemini, Cursor, and other agents query schemas and data, create visualizations, and manage pipelines with traceable SQL and sandboxed compute.
Agent-built, live interactive visualizations and embeddable analytics experiences that persist in the MotherDuck workspace and can be embedded in SaaS applications.
Scheduled Python runtime for ingestion, transformation, replication, SaaS ETL, and operational data pipelines, manageable through SQL, the UI, or MCP-capable agents.
Market Position
MotherDuck positions itself as a simpler, lower-overhead alternative to distributed cloud warehouses for the large majority of workloads that do not require petabyte-scale infrastructure. Its differentiation is DuckDB-native performance, hybrid local/cloud execution, per-user or per-agent isolated compute, serverless operation, and an agent-first interface; relevant competitors include Snowflake, BigQuery, Databricks, Amazon Redshift, ClickHouse, and PostgreSQL-based analytics stacks.
Leadership
Founders
Jordan Tigani
MotherDuck co-founder and CEO; former Google engineer and founding engineer who helped build Dremel/BigQuery, and former chief product officer at SingleStore.
Ryan Boyd
MotherDuck co-founder; developer-experience and developer-relations leader who previously worked at Google Cloud, Databricks, and Neo4j.
Valentino (Tino) Tereshko
MotherDuck co-founder and former VP of Product; previously a product manager at Google BigQuery and technology director in Google Cloud's Office of the CTO, and VP of Product at Firebolt.
Leila Horejsi
MotherDuck co-founder; formerly VP of Account Management at Fast. She later became a fractional VP of Customer Experience at Productiv.
Hannes Mühleisen
Co-founder of DuckLabs and co-creator of DuckDB; researcher and database engineer who partnered with MotherDuck on the commercial cloud offering.
Mark Raasveldt
Co-founder of DuckLabs and co-creator of DuckDB; database researcher and engineer who partnered with MotherDuck on the commercial cloud offering.
Executive Team
Jordan Tigani
Co-Founder & CEO
Former Google BigQuery founding engineer and former chief product officer at SingleStore.
Ben Wiley
Co-Founder & CTO
Co-founder and technology leader at MotherDuck; identified on MotherDuck's customer/company materials as Co-Founder & CTO.
Board of Directors
Founding Story
Jordan Tigani saw DuckDB in action and concluded that its lightweight analytical engine could underpin a serverless cloud service. After Lloyd Tabb encouraged him to treat the idea as more than a side project and introduced him to Tomasz Tunguz and DuckDB creators Hannes Mühleisen and Mark Raasveldt, Tigani and DuckLabs joined forces; the initial team met in Seattle in June 2022 and developed a product initially code-named EasyQuery.
Business Model
Revenue Model
Subscription/platform fees plus usage-based compute and storage charges; enterprise contracts can use fixed-cost capacity pricing, AWS Marketplace private offers, and optional commercial DuckDB support.
Pricing Tiers
Up to 3 internal active users, 2 service accounts, 10 GB storage, and 10 hours of Pulse compute per month.
Up to 10 internal active users, unlimited service accounts, five instance types, Flights, 90-day snapshot retention, custom/preset RBAC, expert support, and 99.9% SLA.
Unlimited users and service accounts, fixed-cost capacity pricing, AWS PrivateLink, IP allowlisting, HIPAA BAA, and BYOC available on request.
Target Markets
- Data teams
- Data engineers and analysts
- Application and SaaS developers
- AI-agent builders
- Startups and small teams
- Enterprises requiring governed analytics
- Internal business intelligence and self-serve analytics
- Customer-facing and embedded analytics in SaaS applications
- Data-lake and object-storage query workloads
- Data ingestion, transformation, replication, and scheduled pipelines
- AI-agent-driven data exploration and analytics
- DuckDB-powered on-premises or embedded deployments needing commercial support
- Ahead Computing
- DoSomething
- Together AI
- FinQore