Why MotherDuck refuses to fork DuckDB
At a recent MCP developer summit, The New Stack spoke with Till Döhmen, AI lead atMotherDuck, about the company’s growing role in the evolving DuckDB ecosystem. Backed by investors includingTomasz Tunguz, MotherDuck is commercializing the open-source analytical databaseDuckDBwhile also expanding how employees interact with data through AI agents rather than traditional dashboards.
Döhmen emphasized the company’s close collaboration withDuckDB FoundationandDuckDB Labs. Because MotherDuck operates what he described as the world’s largest fleet of DuckDB databases, the startup regularly pushes the database to its limits and feeds insights back to the core maintainers. Rather than forking DuckDB to create proprietary advantages, MotherDuck instead extends the platform through its existing architecture while contributing core improvements upstream when needed.
The conversation highlighted the delicate but productive relationship between venture-backed companies and the open-source projects they commercialize, positioning MotherDuck as another example of startups driving both OSS adoption and strong business growth simultaneously.
Learn more from The New Stack around the latest in DuckDB:
DuckDB: Query Processing Is King
DuckDB: In-Process Python Analytics for Not-Quite-Big Data
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Big data is dead, analytics is alive
We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lighting fast analytics queries against a variety of data sources, even on your laptop! Along the way we dig into the intersections with AI, such as text-to-sql, vector search, and AI-driven SQL query correction.
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Featuring:
Till Döhmen – Website, GitHub, LinkedIn, X
Adithya Krishnan – Website, GitHub, LinkedIn, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X
Show Notes:
DuckDB
MotherDuck
Introducing FixIt: an unreasonably effective AI error fixer for SQL
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SaaStr 707: The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini
SaaStr 707: The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini
Hear the latest insights on AI from leading VC Tomasz Tunguz of Theory Ventures Theory Ventures, joined by Jordan Tigani, Founder and CEO of Mother Duck Maggie Hott, GTM at OpenAI, and Sharon Zhou, Co-Founder and CEO of Lamini. Together they discuss the new architecture for building Software as a Service (SaaS) applications with data & machine learning at their core, moderated by Tomasz.
The focus of the episode centers around the transformative role of data, which has become an integral part of the production stack. The speakers also delve into the implications of this shift and explore how leveraging data within the architecture empowers developers to create more robust, intelligent, and scalable SaaS solutions.
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