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
Jun 2, 2025 • Alex Monahan
Tame "file zoos" with DuckDB! This talk reveals how DuckDB seamlessly integrates with Python to read/write diverse files (CSV, Parquet), organize data efficiently, enable larger-than-memory analysis, and streamline your workflows.
Python
Talk
May 28, 2025 • Jacob Matson, Rob Teeuwen
Discover how Gardyn transformed its data platform from MySQL to a modern stack, boosting analytics speed, scalability, and customer insights with MotherDuck, dbt, Dagster, Hex, and Hashboard.
YouTube
May 21, 2025 • Hamilton Ulmer, Jacob Matson, Jerel Navarrete
Imagine writing SQL queries that give you instant visual feedback, transforming your entire data exploration experience. That's what Instant SQL enables with MotherDuck.
YouTube
May 20, 2025 • Michael Driscoll, Mehdi Ouazza
Discover how business intelligence is evolving from drag-and-drop tools to code-based, AI-powered workflows—leveraging LLMs, DuckDB, and local development for faster, more flexible analytics.
YouTube
AI, ML and LLMs
BI & Visualization
May 13, 2025 • Mehdi Ouazza
Discover how the Model Context Protocol (MCP) accelerates data pipeline development with AI tools, DuckDB, and MotherDuck, streamlining schema discovery and code generation for data engineers.
YouTube
AI, ML and LLMs
Apr 23, 2025 • Hamilton Ulmer
Hamilton Ulmer shares insights from MotherDuck's Instant SQL Mode, exploring how real-time query result previews eliminate the traditional write-run-debug cycle through client-side parsing and DuckDB-WASM caching.
SQL
Talk
MotherDuck Features
Apr 23, 2025 • Mehdi Ouazza
With Instant SQL, the MotherDuck UI revolutionizes SQL development with instant query results, real-time debugging, and faster iteration—eliminating decades of delays for modern data professionals.
YouTube
Apr 22, 2025 • Jacob Matson
Jacob Matson shares insights from AI-powered spatial data analysis, exploring how to "vibe code" with AI-generated SQL using MotherDuck and DuckDB for real-world decision-making scenarios.
Talk
AI, ML and LLMs
Apr 10, 2025 • Mehdi Ouazza, Jacob Matson, Archie Wood, Nate Sooter, Evelyn Wou
Learn how data teams at MotherDuck, Notion, 1Password, and Evidence use AI tools to automate workflows, enrich data, speed up BI development, and enhance documentation.
YouTube
Mar 18, 2025
In this panel, Medhi is joined by three fascinating guests, each with unique experience in scaling DuckDB: Jake Thomas from Okta, Jordan Tigani from MotherDuck, and Michael Ritchie from Definite.
Webinar
Interview
5:20
Mar 14, 2025 • Mehdi Ouazza
Mehdi walks through the new DuckDB UI, a free local SQL notebook you launch with duckdb -ui, and shows how to connect it to MotherDuck for cloud access.
YouTube
24:06
Mar 13, 2025 • Gábor Szárnyas
Whether you're new to DuckDB or looking to optimize your workflows, this session will provide practical insights to help you leverage its full potential.
YouTube
Data Pipelines
dbt
MotherDuck Features
Feb 21, 2025 • Mehdi Ouazza
Mehdi revisits the basics in this 35-minute video, covering everything you need to know about DuckDB and MotherDuck.
YouTube
Feb 10, 2025 • Mehdi Ouazza, Lorenzo Mangani
Learn how DuckDB extensions—both core and community—expand database capabilities, streamline workflows, and empower developers to easily create, install, and share powerful new features.
YouTube
Jan 21, 2025 • Gilad Lotan
Discover how BuzzFeed uses AI and embeddings to power creative content, viral experiments, interactive image generators, and data-driven headline optimization, blending human creativity with cutting-edge technology.
YouTube
24:42
Jan 17, 2025 • Jacob Matson
In this talk at our MotherDuck Seattle meetup, Jacob, developer advocate at MotherDuck, talked about why we should use more SQL and go hands-on with some practical examples of how to read from Iceberg using dbt, DuckDB, and MotherDuck.
dbt
Meetup
SQL
08:48
Dec 11, 2024 • Mehdi Ouazza
You often start your web application with an OLTP database like Postgres, but should you crunch your analytics there? In this video, Mehdi explains what OLAP databases are, when to use them, and more.
YouTube
Wasm
SQL
16:37
Nov 22, 2024 • Mehdi Ouazza
Mehdi explores DuckDB as a catalog for Data Lake and Lakehouse pattern. He'll define what we mean by "data catalog", gives clear examples on how they work and dive into a pragmatic use case with DuckDB & MotherDuck.
YouTube
Data Pipelines
Sources
17:03
Nov 17, 2024 • Benn Stancil
BI tools promise deep insights, but most teams only get noise. Discover why the classic data story fails and how a new small-data playbook can help you find real meaning in your metrics.
YouTube
BI & Visualization
25:18
Nov 15, 2024 • Jordan Tigani
Over the last decade, Big Data was everywhere. Let's set the record straight on what is and isn't Big Data. We have been consumed by a conversation about data volumes when we should focus more on the immediate task at hand.
Talk
YouTube
33:49
Nov 8, 2024 • Jacob Matson, Guen Prawiroatmodjo
What if I told you that you could complete a JSON parse and extract task on your laptop before a distributed compute cluster even finishes booting up?
YouTube
BI & Visualization
AI, ML and LLMs
SQL
Python
Talk
14:18
Oct 25, 2024 • Mehdi Ouazza
Postgres analytics 10x faster?! 🤯 pg_duckdb is here! This open-source extension adds DuckDB's analytics to Postgres, supporting Parquet, CSV, Iceberg reads, and direct MotherDuck queries—all within Postgres!
YouTube
Ingestion
SQL
Ecosystem
59:07
Oct 24, 2024 • Jordan Tigani, Matt Turck
Stop paying the Big Data Tax. Discover why 95% of workloads need Small Data strategies and how MotherDuck's scale-up architecture delivers faster, cheaper analytics.
YouTube
Interview
29:54
Oct 23, 2024 • Till Döhmen
MotherDuck's Till Döhmen talks at DuckDB Meetup #1 Amsterdam about all the clever ways the AI team is extending SQL to include AI features.
YouTube
AI, ML and LLMs
Meetup
Talk
40:09
Oct 14, 2024 • Nick Ursa
In this talk at our MotherDuck NYC meetup [warning: bad sound], Nicholas Ursa talked about the paradigm shift from distributed computing and the Big data era to MotherDuck. He then explains how we build our internal data warehouse.
YouTube
Data Pipelines
Meetup
Talk
50:21
Oct 9, 2024 • Till Döhmen, Adithya Krishnan
Till and Adithya from MotherDuck discuss DuckDB’s impact on analytics and AI, showcasing its fast, versatile in-process SQL and AI features like text-to-SQL, vector search, and query correction—powerful analytics even on your laptop.
AI, ML and LLMs
Interview
Sep 24, 2024 • Julia Schottenstein
Learn how LangChain enables developers to build powerful agentic systems, evolving from simple chains to dynamic, context-aware agents for real-world AI applications.
YouTube
1:00:53
Sep 24, 2024 • Mehdi Ouazza, Archie Wood
Come to this Quack&Code where Mehdi will discuss data visualization with DuckDB/MotherDuck, specifically focusing on Evidence! Archie, who is building evidence.dev, will join us to share his wisdom on charts ;-)
BI & Visualization
YouTube
Quack & Code
Sep 24, 2024 • Jeffrey Morgan
Discover how small AI models run locally for fast, private, and cost-efficient development. Learn about Ollama, Retrieval Augmented Generation, tool calling, and practical use cases.
YouTube
41:35
Sep 19, 2024 • Jacob Matson, John Kutay
John Kutay interviews MotherDuck's Jacob Matson about all things data including MotherDuck, DuckDB and more.
Interview
YouTube
14:49
Aug 29, 2024 • Mehdi Ouazza
In this video, Mehdi walks you through the basics of working with geospatial data and introduces the DuckDB spatial extension. By the end, you will create your own heatmap using DuckDB, Python, and MotherDuck for sharing and scalability.
YouTube
Tutorial
50:57
Aug 21, 2024 • Jacob Matson, Mehdi Ouazza
Learn about ad hoc reporting with DuckDB from experts Mehdi Ouazza and Jacob Matson, creator of the MDS-in-a-Box.
YouTube
BI & Visualization
Quack & Code
27:49
Aug 19, 2024 • Guen Prawiroatmodjo
Guen Prawiroatmodjo, Software Engineer at MotherDuck, shares a talk at SciPy 2024 on how to bootstrap a data warehouse on your laptop using open source, including ETL, data pipelines, dashboard visualization, and sharing via the cloud.
YouTube
Talk
1:02:10
Jul 24, 2024 • Mehdi Ouazza, Holly Smith
Quack & Code on table formats and Delta Lake with Holly Smith from Databricks. Can you use DuckDB and MotherDuck to query your data lakehouse based on Delta Lake? Yes! And Delta Lake provides a better format than Parquet.
YouTube
Sources
Quack & Code
0:33:54
Jul 11, 2024 • Mehdi Ouazza
Join Mehdi Ouazza for a fun session to discuss all the new things in DuckDB and MotherDuck as of July 2024. He's flying solo this time for a special episode; he will quack but code too, so get ready!
YouTube
Quack & Code
MotherDuck Features
1:08:11
Jun 28, 2024 • Mehdi Ouazza, Stephanie Wang
Stephanie, founding engineer at MotherDuck, talks about what it takes to put a database in the cloud, specifically DuckDB as MotherDuck. Mehdi and Steph explain dual execution, showing how it works and use cases for the technology.
YouTube
Quack & Code
MotherDuck Features