Cloud data warehouse optimized for SQL queries and AI agents
MotherDuck is a data warehouse built on DuckDB, positioned at the intersection of local development and cloud analytics. The company is actively adopting DuckDB across its stack while managing a sales and marketing-heavy hiring mix (17 roles across go-to-market functions vs. 1 engineering hire in the last 30 days), suggesting a product-market fit validation phase focused on land-and-expand rather than core platform development. Internal pain points—bridging software and data engineering workflows, frictionless data warehousing, unifying local and cloud operations—map directly to their positioning.
MotherDuck builds a data warehouse designed to work with both SQL and AI agents, built in collaboration with DuckDB Labs. The product targets data and engineering teams seeking an alternative to traditional cloud-only warehouses. The company was founded in 2022 and operates from Seattle with 51–200 employees. Go-to-market operations are the primary hiring focus, with active recruitment in sales, marketing, and customer success roles across the United States and Netherlands. Core technical decisions center on DuckDB, Python, and integrations with dbt, Airflow, BigQuery, and Snowflake, suggesting a composable architecture approach.
MotherDuck's stack includes DuckDB (core), SQL, BigQuery, Snowflake, dbt, Apache Airflow, and Python. The company is actively adopting DuckDB across infrastructure and integrates with common data-platform tools like HubSpot and Marketo.
MotherDuck is headquartered in Seattle, United States. The company also hires in the Netherlands and is recruiting across both countries.
Other companies in the same industry, closest in size