What is MotherDuck?
Serverless DuckDB analytics for teams building fast cloud data warehouses.
- Category
- Cloud analytics
- Headquarters
- Seattle, WA
- Founded
- 2022
- Employees
- ~100-200
- Total funding
- ~$133M disclosed
- Valuation or Status
- ~$496M private valuation (2025 extension)
What is MotherDuck?
MotherDuck is a cloud analytics company. Serverless DuckDB analytics for teams building fast cloud data warehouses.
MotherDuck sells into teams that need serverless duckdb cloud, dual local/cloud execution, managed ducklake and related workflows. Revenue not publicly disclosed; platform moved from GA in 2024 into paid production use across analytics teams. Public customer references include atm.com and Kultura Capital, with private-preview usage reported before GA.
The company is positioned around a focused operating wedge rather than a generic software suite: Serverless DuckDB cloud, Dual local/cloud execution, Managed DuckLake, Dives visualizations, Flights pipelines, AI Functions and MCP. That makes the buying center relatively clear for sellers, because product, engineering, finance, data, HR or payments leaders usually evaluate the platform based on measurable workflow impact, security and integration depth.
As of June 2026, the most durable facts are its 2022 founding date, Seattle, WA headquarters/operating hub, ~100-200 employee scale and ~$496M private valuation (2025 extension). Where the company does not disclose revenue or profitability, this profile states that explicitly instead of substituting private estimates.
What does MotherDuck offer?
MotherDuck offers Serverless DuckDB cloud, Dual local/cloud execution, Managed DuckLake, Dives visualizations and adjacent platform capabilities.
- Serverless DuckDB cloud· Product
- Dual local/cloud execution· Product
- Managed DuckLake· Product
- Dives visualizations· Product
- Flights pipelines· Product
- AI Functions and MCP· Product
How does MotherDuck make money?
MotherDuck makes money through lite starts at $0 with included storage and pulse compute; business is $250 per organization per month plus usage; enterprise is custom.
Lite starts at $0 with included storage and Pulse compute; Business is $250 per organization per month plus usage; Enterprise is custom. Usage is metered by storage, compute instance hours, read-scaling replicas, Flights pipelines, and AI units.
The commercial motion is usage- and expansion-driven: teams usually start with a concrete workflow, then add seats, modules, credits, compute, payment volume, data access, compliance controls or enterprise support as adoption spreads. That means growth depends on product-led entry for smaller teams and negotiated enterprise contracts where security, procurement and integrations matter.
For sellers, the budget owner is the function that experiences the workflow pain first. A vendor replacing manual work, improving risk controls or integrating with the named systems in the tech-stack facet has a stronger pitch than a generic productivity message.
Who leads MotherDuck?
MotherDuck is led by Jordan Tigani (Founder and CEO) and Ryan Boyd (Co-founder).
- Jordan TiganiFounder and CEOCo-founder - since 2022Former founding engineer on Google BigQuery and ex-SingleStore CPO.
- Ryan BoydCo-founderCo-founder - since 2022Developer-relations leader with Google and Neo4j background.
- Tino TereshkoCo-founderCo-founder - since 2022Product leader previously at Firebolt and Google.
- Leila HorejsiCo-founderCo-founder - since 2022Go-to-market and account-management leader previously at Fast.
How do you contact MotherDuck's leadership?
Use published company channels first; the personal addresses below are clearly marked as format-following rather than verified inboxes. The observed/presumed pattern for this profile is format-following, not verified: first@motherduck.com.
format-following, not verified: first@motherduck.comHow much funding has MotherDuck raised?
MotherDuck has ~$133M disclosed, with status: ~$496M private valuation (2025 extension).
Major disclosed financing events: May 2022: Seed - $12.5M - Led by Redpoint Ventures; valuation not publicly disclosed in the same announcement. Nov 2022: Seed + Series A disclosed - $47.5M total - Series A led by Andreessen Horowitz; MotherDuck said the combined raise valued the company around $175M. Sep 2023: Series B - $52.5M - Led by Felicis, with Madrona, Andreessen Horowitz, Redpoint, Amplify, Altimeter and others; GeekWire reported an approximately $400M valuation. May 2025: Series B extension - $33M - Extension reported in private-market data sources at an approximately $496M valuation; no new priced Series C had been announced by June 2026.
The funding history shows how investors underwrote the company's market. Earlier rounds financed the initial wedge; later rounds funded enterprise expansion, infrastructure, regulatory coverage, geographic growth or broader platform scope.
If a round, valuation or revenue number is not public, this profile treats it as undisclosed. That matters for sales planning because private companies often have large budgets without publishing the exact revenue base, while acquired or IPO-track companies usually add more formal procurement and risk review.
How did MotherDuck get here?
MotherDuck's path runs from founding through product expansion, major financing and its current June 2026 status.
- 2022Company foundedMotherDuck was formed to commercialize DuckDB in a managed serverless cloud setting.
- Nov 2022Stealth exit and first funding disclosedThe company announced $47.5M in combined seed and Series A funding.
- Jun 2023Private previewMotherDuck opened a preview for early analytics teams and DuckDB users.
- Sep 2023Series BThe company raised $52.5M to expand the DuckDB-based analytics platform.
- Jun 2024General availabilityMotherDuck announced GA for its cloud analytics platform.
- 2025Product expansionManaged DuckLake, MCP, Flights and richer enterprise security became core GTM themes.
Who are MotherDuck's competitors?
MotherDuck competes with DuckDB, Snowflake, BigQuery, Databricks and adjacent platform vendors.
- DuckDBOpen-source embedded analytics engine rather than a hosted cloud data warehouse.
- SnowflakeLarge enterprise data cloud for centralized workloads and broad governance.
- BigQueryGoogle Cloud data warehouse tightly integrated with GCP.
- DatabricksLakehouse and AI platform for larger data engineering and ML teams.
- ClickHouseColumnar real-time analytics database optimized for high-volume event workloads.
MotherDuck — frequently asked questions
