Ducktober is here - 8 launches in 8 daysSee what's live
Learn what MCP (Model Context Protocol) is, how its three building blocks work, and how to set up remote and local MCP servers. Includes a real demo chaining MotherDuck and Notion MCP servers in a single prompt.
9:09
64:46
Oct 27, 2026 • Alex Monahan, Matt Martin
Alex Monahan and Matt Martin, co-authors of O'Reilly's DuckLake: The Definitive Guide, walk through how to make DuckLake queries faster: finding the bottleneck, partitioning and sorting so queries skip files and row groups, tuning Parquet settings together, and keeping the catalog lean.
Stream
SQL
MotherDuck Features
51:02
Oct 21, 2026 • Alex Monahan
Patrik Devlin, co-founder and CTO of Hazel, joins host Alex Monahan to show Hazel in a demo account and walk through the stack behind it: Fivetran and dlt into S3, dbt in MotherDuck, and a separate database for every customer.
Stream
MotherDuck Features
AI, ML and LLMs
Data Pipelines
44:21
Oct 15, 2026 • Kaitlyn Henry
Zoey Weaver interviews Kaitlyn Henry, MotherDuck's Chief of Staff, as she walks through two internal data apps: an AI token spend tracker built on a Flight and a weekly business review Dive. She explains how Guides, markdown files that define the company's key metrics, keep everyone's numbers consistent.
Stream
MotherDuck Features
AI, ML and LLMs
43:57
Oct 8, 2026 • Mehdi Ouazza
Mehdi Ouazza uses MotherDuck's prompt_jev() to turn text columns into columns you can GROUP BY. He classifies 100,000 consumer complaints, then walks through five use cases on real data: AI agent logs, Hacker News sentiment, sales calls, and two kinds of job-ad analysis.
Stream
MotherDuck Features
AI, ML and LLMs
51:58
Oct 1, 2026 • Jacob Matson
Jacob Matson walks through a working data chat agent he built: MCP tools, an agentic loop, a tuned system prompt, hard-coded read-only guardrails, and telemetry. He demos it live against a real dataset, walks through the actual codebase, then shows the same backend re-platformed into a Slack bot.
Stream
MotherDuck Features
AI, ML and LLMs
Data Pipelines
49:02
Sep 29, 2026 • Hamilton Ulmer, Dumky de Wilde, Jacob Matson
MotherDuck's new prompt_jev() function runs text classification directly from SQL using Jev, a decision-focused model from typesafe.ai. In a live demo, Jacob Matson, Dumky de Wilde, and Hamilton Ulmer showed it filtering, disambiguating, and re-ranking real data without leaving SQL. The number they kept coming back to: 100,000 rows classified at 89% accuracy in 40 seconds, compared to 32 minutes and $37.58 for a comparable LLM call.
Stream
MotherDuck Features
AI, ML and LLMs
Data Pipelines
37:22
Sep 16, 2026 • Mehdi Ouazza
One CLI to query MotherDuck, publish Python pipelines, and host dashboards from the terminal. See when it beats the MCP server, and when it doesn't.
Stream
MotherDuck Features
AI, ML and LLMs
Data Pipelines
47:43
Sep 10, 2026 • Colin Rogers, Jacob Matson
See a live cross-engine pipeline: Spark transcribes audio and writes to Iceberg, then MotherDuck attaches that catalog directly as a queryable database.
Stream
Data Pipelines
dbt
Ecosystem
58:27
Sep 3, 2026 • Alex Monahan, Hoyt Emerson
Learn how DuckLake time travel, schema evolution, and the change feed work: query any snapshot, undo bad writes, and evolve tables without rewrites.
Stream
SQL
Ecosystem
60:29
Aug 26, 2026 • Alex Monahan, Jacob Matson
Do AI agents need a semantic layer? Evals comparing plain-text context with a Malloy semantic layer show where each wins, and what it costs.
Stream
AI, ML and LLMs
BI & Visualization
SQL
63:17
Aug 18, 2026 • Jacob Matson
Agentic data engineering in practice: AI agents build dlt ingestion into MotherDuck and a governed Lightdash semantic layer, live in an hour.
Stream
AI, ML and LLMs
Data Pipelines
Ecosystem
52:41
Aug 13, 2026 • Garrett O'Brien
Guides store business context inside your warehouse so AI agents write correct SQL. See how warehouse-native context works in MotherDuck.
Stream
AI, ML and LLMs
MotherDuck Features
52:23
Aug 12, 2026 • Jacob Matson
Learn how to evaluate AI agents that query your data: run text-to-SQL evals with Braintrust and MotherDuck, read traces, and fix failures with context.
Webinar
AI, ML and LLMs
SQL
Ecosystem
1:00:37
Jul 28, 2026 • Jacob Matson, Ryan Dolley
Jacob Matson and BI analyst Ryan Dolley on whether AI can replace your BI tool, what it actually solves, and what still needs governance.
Interview
BI & Visualization
AI, ML and LLMs
41:41
Jul 22, 2026 • Mehdi Ouazza
AI writes data pipelines in seconds, but green isn't correct. Build robust data pipelines with AI: eyes on data, foundations, tests, and contracts.
Webinar
Data Pipelines
AI, ML and LLMs
MotherDuck Features
41:19
Jul 14, 2026 • Jacob Matson, Paul Dudley
Learn when Postgres CDC is worth it, what breaks it (WAL logs, replication slots, schema changes), and see a live Postgres-to-MotherDuck pipeline.
Webinar
Data Pipelines
Ecosystem
AI, ML and LLMs
1:00:17
Jul 9, 2026 • Alex Monahan, Jerel Navarrete
See inside DuckLake's architecture: a SQL database catalog, Parquet storage, and pluggable compute that cut metadata latency to milliseconds.
Webinar
SQL
MotherDuck Features
46:45
Jun 24, 2026 • Hamilton Ulmer, Brittany Rosenau, Zack Mazzoncini, Jacob Matson
What makes a great data visualization in the AI era? Three viz experts judge the DiveMaxxing winners and break down what separates great from busy.
Webinar
BI & Visualization
AI, ML and LLMs
36:45
Jun 23, 2026 • Jacob Matson
Watch an AI agent build a data pipeline end to end in MotherDuck Flights: ingest, transform, and schedule it, then wire it into a live Dive dashboard.
Webinar
AI, ML and LLMs
Data Pipelines
MotherDuck Features
BI & Visualization
54:22
Jun 18, 2026 • Jordan Tigani
Jordan Tigani helped build BigQuery, then left to bet that most data isn't actually big. Three years later, the agent era is making his case for him. In this conversation on The Analytics Engineering Podcast, he and host Tristan Handy talk about how MotherDuck and DuckDB fit together, why a single-node database makes more sense than you'd think for agents, and what it would actually look like to have a swarm of agents managing your data.
YouTube
AI, ML and LLMs
Interview
45:32
Jun 17, 2026 • Doo Shim, Garrett O'Brien
See how MotherDuck Flights lets you build and schedule Python data pipelines with an AI agent — from a single prompt to a running ingest pipeline and live dashboard.
Webinar
Data Pipelines
AI, ML and LLMs
MotherDuck Features
Python
42:30
Jun 9, 2026 • Mehdi Ouazza
Postgres slows down on analytics as your app grows. Learn the signs you've hit its ceiling and how to offload analytical queries to MotherDuck.
Webinar
SQL
Data Pipelines
MotherDuck Features
28:00
Jun 2, 2026 • Jordan Tigani
MotherDuck CEO Jordan Tigani on how AI is reshaping the modern data stack, why query latency now matters for agents, and the rise of open data formats.
Interview
AI, ML and LLMs
MotherDuck Features
Ecosystem
1:00:00
May 28, 2026 • Jacob Matson, Daniel Pham
See how e-commerce data teams use LLMs and MotherDuck to go from a plain-language business question to a published, interactive analysis in minutes.
Webinar
AI, ML and LLMs
BI & Visualization
47:05
May 26, 2026 • Jacob Matson
Jacob Matson refactors a real NBA app with AI agent teams, revealing how data engineering patterns like DAGs and wave planning map directly to agent orchestration.
Webinar
AI, ML and LLMs
Data Pipelines
42:00
May 19, 2026 • Jacob Matson, Hugo Lu
Watch an AI agent build a full data pipeline from scratch: ingestion with DLT, orchestration in Orchestra, staging and snapshots in MotherDuck, and a Dive for visual output.
Webinar
AI, ML and LLMs
Data Pipelines
MotherDuck Features
53:19
May 12, 2026 • Mehdi Ouazza, Josh Nakka
PriceMedic replaced Athena and Redshift with MotherDuck. Co-founder Josh Nakka on the 14x speedup, $20K/month savings, and Dives for customers.
Webinar
MotherDuck Features
AI, ML and LLMs
1:02:00
May 7, 2026 • Ryan Boyd, Logan Toskey, Alex Monahan
Watch how an AE and a marketer use AI to analyze their own business data without writing SQL or waiting on a data team.
Webinar
AI, ML and LLMs
MotherDuck Features
Tutorial
1:01:04
Apr 28, 2026 • Alex Monahan, Jerel Navarrete
Learn how DuckLake's SQL-backed catalog cuts metadata latency to milliseconds, then tune Parquet settings, inlining, and partitioning for production.
Webinar
SQL
MotherDuck Features
46:11
Apr 23, 2026 • Jacob Matson, Peter Chapman
Learn to write effective context for data agents. Covers benchmarks comparing English, SQL, and semantic model formats plus scaling strategies.
Webinar
AI, ML and LLMs
38:44
Apr 21, 2026 • Garrett O'Brien, Louisa Huang
MotherDuck's Postgres endpoint lets any Postgres client, driver, or BI tool query your data warehouse without installing a DuckDB library.
Webinar
MotherDuck Features
Ecosystem
SQL
60:41
Apr 9, 2026 • Alex Monahan, Garrett O'Brien
BI tools were never built to be app interfaces — they're rigid, clunky, and add complexity to your user experience. Dives offer a different approach: interactive data apps you create with natural language that can be embedded directly into your applications. In this session, Alex Monahan walks through how to build a Dive and embed it in your app, with help from AI agents. You'll learn how to create interactive visualizations with natural language queries, embed Dives into your app with a secure sandbox, set up the auth flow so your users get read-only access without exposing credentials, and choose between server-side and dual execution with DuckDB-Wasm. Whether you're building customer-facing analytics or internal tools, this webinar shows you the full workflow from query to production-ready embed. See how Claude Code + Dives can get you from zero to a working data app fast.
Webinar
MotherDuck Features
BI & Visualization
App Development
58:00
Apr 7, 2026 • Alex Monahan, Jacob Matson
Alex Monahan and Jacob Matson walk through DuckDB 1.5's biggest features including the VARIANT type, redesigned CLI, built-in GEOMETRY, and faster joins.
Webinar
55:29
Apr 2, 2026 • Alex Monahan, Matt Martin
Matt Martin and Alex Monahan, coauthors of O'Reilly's DuckLake: The Definitive Guide, discuss what DuckLake is, how it simplifies lakehouse architecture, and why it replaces file-based metadata with a SQL database. Includes a live Q&A and the release of Chapter 1.
Webinar
Ecosystem
43:41
Mar 26, 2026 • Alex Monahan, Jerel Navarrete
Learn to build interactive data apps with MotherDuck Dives. Go beyond static charts with live SQL, React components, and shareable URLs.
Webinar
MotherDuck Features
BI & Visualization
38:23
Mar 17, 2026 • Jerel Navarrete, Jacob Matson
See how MotherDuck's new query_rw MCP tool lets AI agents write back to your data warehouse, creating tables, storing embeddings, and saving views.
Stream
AI, ML and LLMs
MotherDuck Features
SQL
1:00:01
Mar 12, 2026 • Jacob Matson, Ryan Dolley
Jacob Matson covers text-to-SQL accuracy, why data models matter more than LLM choice, the MotherDuck MCP workflow, and Dives on Super Data Brothers.
Interview
AI, ML and LLMs
SQL
MotherDuck Features
1:00:14
Mar 11, 2026 • Ryan Boyd, Jerel Navarrete, Jacob Matson
Learn how to build a conversational AI chatbot for your SaaS product using the MotherDuck MCP server, with scoped data access and streaming responses.
Webinar
AI, ML and LLMs
Tutorial
MotherDuck Features
1:00:10
Feb 25, 2026 • Jacob Matson, Garrett O'Brien
You know the pattern: someone asks a question, you write a query, share the results — and a week later, the same question comes back. Watch this webinar to see how MotherDuck is rethinking how questions become answers, with AI agents that build and share interactive data visualizations straight from live queries.
Webinar
AI ML and LLMs
MotherDuck Features
Jan 27, 2026 • Jerel Navarrete, Jacob Matson
Jacob and Jerel from MotherDuck showcase practical ways to optimize your data warehouse for AI-powered SQL generation. Through rigorous testing with the Bird benchmark, they demonstrate that text-to-SQL accuracy can jump from 30% to 74% by enriching your database with the right metadata.
AI, ML and LLMs
SQL
MotherDuck Features
Stream
Tutorial
0:09:18
Jan 21, 2026 • Mehdi Ouazza
Learn how to use the MotherDuck MCP server with Claude to analyze data using natural language—no SQL required. This text-to-SQL tutorial shows how AI data analysis works with the Model Context Protocol (MCP), letting you query databases, Parquet files on S3, and even public APIs just by asking questions in plain English.
YouTube
Tutorial
AI, ML and LLMs
Jan 21, 2026 • Jacob Matson, Alex Monahan
Jacob and Alex from MotherDuck query data using the MotherDuck MCP. Watch as they analyze 180,000 rows of shipment data through conversational AI, uncovering late delivery patterns, profitability insights, and operational trends with no SQL required!
Stream
AI, ML and LLMs
MotherDuck Features
SQL
BI & Visualization
Tutorial
59:39
Jan 16, 2026 • Ryan Boyd
MotherDuck cofounder Ryan Boyd demonstrates how to close the LLM accuracy gap for business analytics using MotherDuck's MCP server, semantic modeling, and hyper-tenancy architecture for AI agents.
AI, ML and LLMs
Jan 13, 2026 • Jacob Matson, Logan Toskey
Watch us dive into NFL playoff odds and PGA Tour stats using using MotherDuck's MCP server with Claude. See how to analyze data, build visualizations, and iterate on insights in real-time using natural language queries and DuckDB.
AI, ML and LLMs
SQL
MotherDuck Features
Tutorial
BI & Visualization
Ecosystem
Dec 26, 2025 • Jacob Matson
In this hands-on workshop, Jacob Matson walks through building a serverless lakehouse from scratch using DuckLake.
Webinar
Tutorial
Dec 10, 2025 • Hoyt Emerson
In this video, Hoyt Emerson will show you the fastest way to get DuckLake into production using MotherDuck's beta implementation. If you've been following his DuckLake series, this is the next step you've been waiting for!
YouTube
Data Pipelines
Tutorial
MotherDuck Features
SQL
Ecosystem
Nov 20, 2025 • Jacob Matson
Learn how to turbocharge your Python data work using DuckDB and MotherDuck with Pandas. We walk through performance comparisons, exploratory data analysis on bigger datasets, and an end-to-end ML feature engineering pipeline.
Webinar
Python
AI, ML and LLMs
Nov 19, 2025 • Ryan Boyd
LLMs excel at natural language understanding but struggle with factual accuracy when aggregating business data. Ryan Boyd explores the architectural patterns needed to make LLMs work effectively alongside analytics databases.
AI, ML and LLMs
MotherDuck Features
SQL
Talk
Python
BI & Visualization
Nov 14, 2025 • Jacob Matson, Armin Efendic
AI isn't here to replace data work, it's here to make it better. Watch this webinar to see how Hex and MotherDuck build AI workflows that prioritize context, iteration, and real-world impact.
Webinar
AI, ML and LLMs
Nov 5, 2025 • Benn Stancil
Benn Stancil uses Olympics gymnastics scoring to argue data's quantification obsession is generational. We went from vibes to math and may return to AI-powered vibes. Will dashboards matter to the next generation?
Talk
BI & Visualization
Nov 5, 2025 • Jordan Tigani
MotherDuck CEO Jordan Tigani shares why we built our data warehouse for small data first, not big data. Learn about designing for the bottom left quadrant, hypertenancy, and why scale doesn't define importance.
Talk
MotherDuck Features
Ecosystem
SQL
BI & Visualization
AI, ML and LLMs
Oct 31, 2025 • Jordan Tigani, Garrett O'Brien
Big Data is dead. Learn to evaluate data warehouse performance via Time-to-Insight and real costs, ignoring misleading petabyte-scale vendor benchmarks.
Stream
Interview
Oct 29, 2025 • Jacob Matson
Temptation to over-engineer your data stack is everywhere. Watch MotherDuck and Tasman Analytics for the antidote: a practical discussion of why companies try to overbuild and what they can do to resist the temptation.
Webinar
Oct 27, 2025 • Mehdi Ouazza, Maël Deschamps
Watch this webinar with MotherDuck and Artefact for a discussion about how to achieve exceptional performance for gold layer analytics using DuckDB .
Webinar
60:00
Oct 23, 2025 • Ryan Boyd, Ryan Dolley
MotherDuck co-founder Ryan Boyd joins the Super Data Brothers show to talk about all things DuckDB, MotherDuck, AI agents/LLMs, hypertenancy and more.
YouTube
BI & Visualization
AI, ML and LLMs
Interview
Oct 15, 2025 • Mehdi Ouazza
In this webinar, we compare classic BI dashboards with custom-built data apps built in Python and JavaScript. We'll also show how MotherDuck can power both data teams and software engineers to deliver analytics directly to users.
Webinar
Oct 14, 2025 • Jacob Matson, Alex Monahan
MotherDuck’s managed DuckLake data lakehouse blends the cost efficiency, scale, and openness of a lakehouse with the speed of a warehouse for truly joyful dbt pipelines. They will show you how!
Talk
Oct 14, 2025 • Mehdi Ouazza
Explore the latest transformation layer architectures and real-world uses, plus how MotherDuck utilizes DuckDB for cloud-scale transformation.
Webinar
Sep 25, 2025 • Jacob Matson
In this webinar, we show how Datacoves and MotherDuck make it possible to connect directly to S3, build dbt models in DuckLake, and visualize the results without the heavy lift of traditional data stacks.
Webinar
dbt
Sep 24, 2025 • Jordan Tigani
DuckDB is loved by SQL-ophiles for small data workloads. How do you make it scale? What happens when you feed it Big Data? What is DuckLake? This talk answers these questions from real-world experience running DuckDB in the cloud.
MotherDuck Features
SQL
Talk
BI & Visualization
Python
Sep 18, 2025 • Ryan Boyd
Explore DuckLake, a new open table format from DuckDB's creators, designed to bring warehouse-grade performance and metadata control to data lakes.
Talk
MotherDuck Features
SQL
Data Pipelines
Ecosystem
Ingestion
Sep 10, 2025 • Jacob Matson, Sahil Gupta
Hear how DoSomething's data team escaped the enterprise data trap, achieving 20X cost reduction and transforming hours-long queries into seconds with MotherDuck.
YouTube
Sep 10, 2025 • Jordan Tigani
Jordan Tigani explores how AI applications can leverage analytics databases to answer complex questions. LLMs struggle with calculations and private data. Enter "Hyper-Tenancy" for isolated cloud instances.
AI, ML and LLMs
Short
SQL
MotherDuck Features
Talk
Jul 26, 2025 • Jerel Navarrete, Jacob Matson, Daniel Palma
Learn how DuckLake, MotherDuck, and Estuary enable fast, real-time data integration and analytics with modern open table formats, cloud data warehousing, and no-code streaming pipelines.
YouTube
Jul 17, 2025 • Mehdi Ouazza
Struggling with slow PostgreSQL analytics queries? @mehdio shows 3 proven methods to supercharge performance using DuckDB and MotherDuck. Perfect for GROUP BY aggregations taking 30+ seconds.
YouTube
Jun 26, 2025 • Jacob Matson
Watch this special edition of our Getting Started with MotherDuck webinar where we'll cover how to use DuckLake with MotherDuck.
Webinar
Jun 17, 2025 • Jordan Tigani, Hannes Mühleisen
DuckDB's Hannes Mühleisen joins MotherDuck CEO Jordan Tigani for an in-depth discussion about DuckLake, the new lakehouse format that's rethinking how we handle metadata and open table formats.
Interview
20:44
Jun 13, 2025 • Jelte Fennema-Nio
Boost PostgreSQL analytics with DuckDB. Discover how columnar storage, vectorized execution, and pg_duckdb deliver 60x faster pipelines and lower TCO.
YouTube
Ecosystem
Talk
Jun 12, 2025 • Jelte Fennema-Nio
Supercharge your Postgres analytics! This talk shows how the pg_duckdb extension accelerates your slowest queries instantly, often with zero code changes. Learn practical tips and how to use remote columnar storage for even more speed.
Talk
Sources
46:26
Jun 12, 2025 • Mehdi Ouazza, Julien Hurault
Building a data stack means choosing between easy SaaS and complex open-source. Apache Iceberg is a middle ground, but its catalog is a hurdle. New tools now simplify using Iceberg with DuckDB to create a flexible, local data lakehouse.
MotherDuck Features
Jun 5, 2025 • Mehdi Ouazza
Discover how DuckLake revolutionizes data lake table formats by storing metadata in relational databases, enabling faster, scalable, and ACID-compliant analytics on object storage like S3.
YouTube