MotherDuck
Also listed as 2 other names
Mother Duck · Motherduck
Circuit mix
Where MotherDuck shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner56%29 events
- Python & R data science11%7 events
- Enterprise, analyst & AI expos7%3 events
- Postgres & open-source databases6%5 events
- AI engineering & MLOps6%3 events
- Research6%3 events
- Open-source data infrastructure4%3 events
- Microsoft data platform2%1 event
- Vendor flagships & roadshows1%1 event
- Software engineering1%1 event
The year around now
Conferences where MotherDuck sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Title
- Gold
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
UpSponsored 12 conferences in 2026, up from 2 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
New 11
First sponsored in 2025 or later.
- AI By the Bayfirst sponsored 2025, Gold
- AI Native Summitfirst sponsored 2025, unranked tier
- Big Data LDNfirst sponsored 2025, tier not listed
- Data Councilfirst sponsored 2025, Silver
- Data Decodedfirst sponsored 2026, unranked tier
- Data in the D Conferencefirst sponsored 2025, Gold
- DataTunefirst sponsored 2026, Silver
- Forward Data Conferencefirst sponsored 2026, Silver
Show 3 more
- Helsinki Data Weekfirst sponsored 2026, unranked tier
- MCP Dev Summit / AGNTCon + MCPConfirst sponsored 2026, Gold
- SciPy Conference (Scientific Computing with Python)first sponsored 2025, Gold
Steady 5
Sponsored in most years of its span at the same tier.
- ACM SIGMOD/PODS (International Conference on Management of Data)every year 2023–24, Silver
- Coalesceevery year 2023–26, mostly Bronze
- Data Day Texas2 of 3 years 2024–26, unranked tier
- Data Outpostevery year 2024–26, Title
- DuckCon2 of 3 years 2024–26, mostly Gold
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyDataonce, 2024, Gold
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Deepnote0.73
- Count0.70
- Gable.ai0.68
- ClickHouse0.66
- Steep0.66
- Halfpipe Systems0.65
- Kilo Code0.64
- Y420.64
17 Cluster: Current · Data Streaming Summit circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 29 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Snowflake | 13 | 45% |
| Amazon Web Services | 9 | 31% |
| Databricks | 9 | 31% |
| 9 | 31% | |
| Omni | 9 | 31% |
| Hex | 8 | 28% |
| Sigma Computing | 8 | 28% |
| dbt Labs | 7 | 24% |
| Fivetran | 7 | 24% |
| Airbyte | 6 | 21% |
| ClickHouse | 6 | 21% |
| Microsoft | 6 | 21% |
| DataHub | 5 | 17% |
| Dremio | 5 | 17% |
| Espresso AI | 5 | 17% |
Neighborhood: companies with nearby conference footprints
MotherDuck (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 29
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Forward Data Conference 2026 | Nov 16, 2026 | Paris, France | Silver | Silver |
| Data Outpost 2026 | Nov 4–5, 2026 | San Francisco, United States | Presenting | Title |
| Helsinki Data Week 2026 | Oct 26–30, 2026 | Helsinki, Finland | Partners | Other |
| Data in the D Conference 2026 | Oct 16–17, 2026 | Detroit, United States | Workshop & Demo Sponsors | Other |
| Data Decoded MCR 2026 | Oct 13–14, 2026 | Manchester, United Kingdom | Exhibitor | Other |
| Data AI Weekend 2026 (Austin) | Oct 10–11, 2026 | Austin, United States | Global Data Geeks Friends and Patrons | Other |
| Big Data LDN 2026 | Sep 23–24, 2026 | London, United Kingdom | Exhibitor | Unlabeled |
| dbt Summit 2026 | Sep 15–18, 2026 | Las Vegas, United States | Bronze | Bronze |
| DuckCon #7 | Jun 24, 2026 | Amsterdam, Netherlands | Gold supporter | Gold |
| AI Council 2026 | May 12–14, 2026 | San Francisco, United States | Bronze | Bronze |
| MCP Dev Summit North America 2026 | Apr 2–3, 2026 | New York, United States | Gold | Gold |
| DataTune 2026 | Mar 6–7, 2026 | Nashville, United States | Silver | Silver |
| Data Day Texas + AI 2026 | Jan 24, 2026 | Austin, United States | Patrons and Partners | Other |
| AI By the Bay 2025 | Nov 17–19, 2025 | Oakland, United States | Sustaining Sponsor | Gold |
| Data in the D Conference 2025 | Nov 8, 2025 | Detroit, United States | Lead Sponsors | Gold |
| Small Data SF 2025 | Nov 4–5, 2025 | San Francisco, United States | Presented By (organizer) | Title |
| Coalesce 2025 | Oct 13–16, 2025 | Las Vegas, United States | — | Unlabeled |
| Big Data LDN 2025 | Sep 24–25, 2025 | London, United Kingdom | Exhibitor | Unlabeled |
| AI Native Summit 2025 | Sep 10, 2025 | San Francisco, United States | Sponsor (demo booth) | Other |
| SciPy 2025 | Jul 7–13, 2025 | Tacoma, United States | Gold / Poster Sponsor | Gold |
| Data Council 2025 | Apr 22–24, 2025 | Oakland, United States | Silver | Silver |
| PyData NYC 2024 | Nov 6–8, 2024 | New York, United States | Gold | Gold |
| Coalesce 2024 | Oct 7–10, 2024 | Las Vegas, United States | Silver | Silver |
| Small Data SF 2024 | Sep 23–24, 2024 | San Francisco, United States | Host | Title |
| DuckCon #5 | Aug 15, 2024 | Seattle, United States | Sponsor (drinks and snacks) | Other |
| SIGMOD/PODS 2024 | Jun 9–14, 2024 | Santiago, Chile | Silver Supporters | Silver |
| Data Day Texas + AI 2024 | Jan 27, 2024 | Austin, United States | Database Partner | Other |
| Coalesce 2023 San Diego | Oct 16–19, 2023 | San Diego, United States | Bronze | Bronze |
| SIGMOD/PODS 2023 | Jun 18–23, 2023 | Bellevue, United States | Silver Sponsors | Silver |
Speakers 78
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Mehdi Ouazza | Forward Data Conference 2026 | speaker | The Next Data Stack Has No UI: Building End-to-End Analytics with Agents and Ducks | — |
| Mehdi Ouazza | Forward Data Conference 2026 | speaker | Speedrunning Analytics in 60 seconds, no cuts | — |
| Alex Monahan | Data Outpost 2026 | workshop | Lakehouses for Robots: Scaling DuckLake and Iceberg for Agent Workloads | — |
| Dumky de Wilde | Data Outpost 2026 | workshop | What to Move, What to Fix, What to Leave Behind: Migrating to MotherDuck | — |
| Jacob Matson | Data Outpost 2026 | workshop | The Next Data Stack Has No UI: Building End-to-End Analytics with Agents and Ducks | — |
| Jordan Tigani | Data Outpost 2026 | keynote | Episode IV: A New Hope for Data | — |
| Mehdi Ouazza | Data Outpost 2026 | workshop | The Next Data Stack Has No UI: Building End-to-End Analytics with Agents and Ducks | — |
| Dumky de Wilde | Helsinki Data Week 2026 | sponsored talk | The Workbench of the Future: How MotherDuck and dltHub support the post-modern data stack | — |
| Alex Monahan | Data in the D Conference 2026 | lightning | Accurate Agentic Analytics: Easy, flexible context in the warehouse | — |
| Ryan Boyd | Data Decoded MCR 2026 | speaker | Who Operates the Data Stack When the Agent Builds It? | — |
| Ryan Boyd | Data AI Weekend 2026 (Austin) | speaker | AI makes us wrong faster. How does that help the business? Who succeeds the most in this environment? | — |
| Ryan Boyd | Data AI Weekend 2026 (Austin) | speaker | How does data infrastructure need to evolve when agents drive the queries? | — |
| Jelte Fennema-Nio | Postgres Summit US 2026 | speaker | Just enough Postgres compatibility to keep your sanity | Slides |
| Jordan Tigani | Big Data LDN 2026 | speaker | 3 Ways to Rebuild the Data Stack for Agents | — |
| Jordan Tigani | dbt Summit 2026 | keynote | dbt Summit 2026 Keynote: Level Up | Video |
| Mehdi Ouazza | DuckCon #7 | sponsor talk | So you self-hosted DuckDB. Now what? | — |
| Till Döhmen | Berlin Buzzwords 2026 | panelist | The Agent Era: How AI Agents Are Reshaping Data Platforms | Video |
| Alex Monahan | The Dive 2026 | moderator | Panel: The Future of Open Table Formats | — |
| Alex Monahan | The Dive 2026 | speaker | MotherDuck + DuckDB Meetup [Special Edition]: Contributing C++ to DuckDB with AI | — |
| Jacob Matson | The Dive 2026 | workshop | Build a Data Agent in 60 Minutes | — |
| Jordan Tigani | The Dive 2026 | panelist | Panel: Agents in Production | — |
| Dumky de Wilde | PyCon DE & PyData 2026 | tutorial | SQL is Dead, Long Live SQL: Engineering reliable analytics agent from scratch | — |
| Till Döhmen | MCP Dev Summit North America 2026 | speaker | Reflections on Context Engineering Via MCP Servers | — |
| Jacob Matson | Seattle Startup Summit 2026 | speaker | Workshop: building evaluations on OpenRouter for LLM apps | — |
| Jordan Tigani | Seattle Startup Summit 2026 | speaker | Fireside chat | — |
| Jacob Matson | DataTune 2026 | talk | Clone, Code, Ship: Multiplying Your Data Engineering Throughput with MotherDuck and AI | — |
| Bev Turnbaugh | San Francisco Apache DataFusion Meetup (February 2026) | speaker | DuckLake: Lakehouses 2.0 | Video |
| Mehdi Ouazza | Forward Data Conference 2025 | speaker | From Postgres to a Minimalist Lakehouse: The Next Step with DuckLake | Video |
| Ryan Boyd | AI By the Bay 2025 | keynote | LLMs Meet Data Warehouses: Building Reliable AI Agents for Business Analytics | Video |
| Till Döhmen | AI By the Bay 2025 | speaker | — | — |
| Alex Monahan | Data in the D Conference 2025 | speaker | Making Big Data Feel Small with MotherDuck and DuckLake | Slides |
| Jacob Matson | Small Data SF 2025 | workshop | Serverless lakehouse from scratch with DuckLake | — |
| Jordan Tigani | Small Data SF 2025 | panelist | Panel: Don't duck up the Numbers: Where AI Hype Meets BI Reality | Video |
| Jordan Tigani | Small Data SF 2025 | keynote | The Unbearable Bigness of Small Data | Video |
| Alex Monahan | Coalesce 2025 | speaker | DuckLake: Making BIG DATA feel small | Video |
| Jacob Matson | Coalesce 2025 | speaker | DuckLake: Making BIG DATA feel small | Video |
| Jelte Fennema-Nio | PGConf NYC 2025 | speaker | pg_duckdb: Ducking awesome analytics in Postgres | Slides |
| Jordan Tigani | Big Data LDN 2025 | speaker | DuckDB at Scale | — |
| Jordan Tigani | AI Native Summit 2025 | speaker | — | — |
| Alex Monahan | SciPy 2025 | tutorial | All the SQL a Pythonista needs to know: an introduction to SQL and DataFrames with DuckDB | — |
| Guen Prawiroatmodjo | SciPy 2025 | tutorial | All the SQL a Pythonista needs to know: an introduction to SQL and DataFrames with DuckDB | — |
| Alex Monahan | PyCon US 2025 | speaker | Taming file zoos: Data science with DuckDB database files | — |
| Jelte Fennema-Nio | PGConf.dev 2025 | speaker | What can Postgres learn from DuckDB? | Slides |
| Hamilton Ulmer | Data Council 2025 | talk | Instant Preview Mode: Real-Time Feedback to Make SQL Data Exploration Fly | — |
| Jacob Matson | Data Council 2025 | talk | More Than a Vibe: AI-Driven SQL that Actually Works | — |
| Boaz Leskes | OSA CON 2024 | speaker | pg_duckdb: Adding analytics to your application database | Slides · Video |
| Jelte Fennema-Nio | PGConf.EU 2024 (14th PostgreSQL Conference Europe) | lightning talk | Lightning Talks | Slides |
| Till Döhmen | DuckDB Amsterdam Meetup #1 | talk | Machine learning and AI at MotherDuck | Slides · Video |
| Alex Monahan | Coalesce 2024 | speaker | Simplify your dbt data pipelines with serverless DuckDB | Video |
| Jordan Tigani | Small Data SF 2024 | keynote | Big is Not a Number: Dispelling the Myths of Big Data | Video |
| Frances Perry | DuckCon #5 | talk | MotherDuck: Taking flight with interactive analytics | — |
| Alex Monahan | SciPy 2024 | speaker | How to bootstrap a Data Warehouse with DuckDB | — |
| Alex Monahan | SciPy 2024 | tutorial | All the SQL a Pythonista needs to know: an introduction to SQL and DataFrames with DuckDB | — |
| Elena Felder | SciPy 2024 | tutorial | All the SQL a Pythonista needs to know: an introduction to SQL and DataFrames with DuckDB | — |
| Guen Prawiroatmodjo | SciPy 2024 | speaker | How to bootstrap a Data Warehouse with DuckDB | — |
| Guen Prawiroatmodjo | SciPy 2024 | tutorial | All the SQL a Pythonista needs to know: an introduction to SQL and DataFrames with DuckDB | — |
| Nicholas Ursa | SciPy 2024 | speaker | How to bootstrap a Data Warehouse with DuckDB | — |
| Jelte Fennema-Nio | PGConf.dev 2024 | speaker | The PostgreSQL Protocol: The Good, the Bad and the Future | Slides · Video |
| Alex Monahan | PyCon US 2024 | speaker | Python and SQL: Better Together, Powered by DuckDB | Video |
| Peter Boncz | Data Day Texas + AI 2024 | speaker | An abridged history of DuckDB: database tech from Amsterdam | — |
| Ryan Boyd | Data Day Texas + AI 2024 | speaker | — | — |
| RJ Atwal | CIDR 2024 | paper | MotherDuck: DuckDB in the cloud and in the client | Paper |
| Jordan Tigani | Coalesce 2023 San Diego | speaker | Hybrid query execution: What is a database client, anyway? | Video |
| Mehdi Ouazza | Coalesce 2023 San Diego | panelist | Panel discussion: Fixing the data eng lifecycle | Video |
| Ryan Boyd | DataEngBytes 2023 Melbourne | speaker | Duck, duck, Go! Hybrid SQL Execution with DuckDB and MotherDuck | Video |
| Ryan Boyd | DataEngBytes 2023 Melbourne | panelist | Melbourne Data Engineering Panel | Video |
| Ryan Boyd | DataEngBytes 2023 Brisbane | speaker | Duck, duck, Go! Hybrid SQL Execution with DuckDB and MotherDuck | Video |
| Ryan Boyd | DataEngBytes 2023 Sydney | keynote | Keynote: Battle of Centralized vs Personal Compute | Video |
| Ryan Boyd | DataEngBytes 2023 Sydney | panelist | Sydney Data Engineering Panel | Video |
| Alex Monahan | SciPy 2023 | speaker | In-Process Analytical Data Management with DuckDB | — |
| Stephanie Wang | QCon New York 2023 | speaker | Enabling Remote Query Execution Through DuckDB Extensions | — |
| Ryan Boyd | Budapest Data Forum + Budapest ML Forum 2023 | speaker | DuckDB: My laptop is faster than your Data Warehouse | — |
| Ryan Boyd | Modern Data Stack Conference 2023 | speaker | Next-gen data tools: Applications to unlock ROI from data | — |
| Jordan Tigani | Data Council Austin '23 | talk | Big Data is Dead | — |
| Tino Tereshko | Data Council Austin '23 | talk | Data Warehouses are Gilded Cages. What Comes Next? | — |
| Boaz Leskes | DuckCon #2 | talk | MotherDuck: What does it take to put DuckDB in the Cloud? | — |
| Yves Le Maout | DuckCon #2 | talk | MotherDuck: What does it take to put DuckDB in the Cloud? | — |
| Ryan Boyd | Data Day Texas 2023 | speaker | Your laptop is faster than your data warehouse. Why wait for the cloud? (DuckDB) | — |