Ducktober is here - 8 launches in 8 daysSee what's live
Developer Advocate
Alex joins us from Intel where he worked as a data scientist building a DuckDB-powered analytics platform.
Oct 29, 2026 • Alex Monahan
MotherDuck is launching Dive Apps: fully custom data apps that can write-back anywhere. Build them with your agent and they run on the MotherDuck data warehouse. Use Dive Apps to replace SaaS apps, automate your operations, or bring humans into the loop to steer your agents.
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
Oct 5, 2026 • Alex Monahan
Data Outpost kicks off on November 4, 2026 in San Francisco with 11 hands-on workshops from MotherDuck, Vercel, Sigma, Prefect, Estuary, Airbyte, Reducto, Braintrust, and Together AI. Here's what you'll build in each one: your own agents, the data pipelines they need, and the skills to run them in production.
Oct 1, 2026 • Alex Monahan
Data Outpost is an AI and data conference in San Francisco. Its main day, November 5, 2026, has 13 talks and panels from teams at Canva, Stripe, DoorDash, Posit, dbt and more. Here's what each session covers, from agents that write back to context layers, SQL harnesses, and AI for regulated data, and what you'll walk away with.
Sep 21, 2026 • Alex Monahan
Define your dashboards in YAML with dbt Charts, then the same dbt build that runs your pipeline deploys them to MotherDuck Dives. Just 2 config changes! Your Dives will refresh live whenever your stakeholders take a look. See how we constructed the dbt package as well.
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
Sep 2, 2026 • Alex Monahan
We analyzed a slice of MotherDuck query history and found agents ran 29 times more queries than humans last month, a gap that has roughly doubled every month. The average organization now has twice as many agents as human users. Agents are the dominant consumers of the data platform, and our systems can't afford to stay the same.
Aug 28, 2026 • Alex Monahan
If your laptop has 16GB of RAM, your agent can write SQL locally for free with Qwen3.8 27B. On the DABstep SQL benchmark, Qwen beat GPT 5.6 Luna and cost under 50 cents in electricity, over 17x less. Add DuckDB and you have a data analyst that runs on your own machine. This post covers the benchmark results and walks through the setup, including which quantized model to download for your laptop.
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
Aug 20, 2026 • Jacob Matson, Alex Monahan
We proved that AI agents could build a semantic layer. The more interesting result was that the semantic layer itself became disposable. Q&A pairs are unreasonably effective at capturing business intent and give agents something concrete to iterate with. If code can be regenerated, where should your company accrue knowledge?
Aug 18, 2026 • Alex Monahan
AI agents make building data apps easy, but what about deploying them or making sure they scale? Replit provides a way for just about anyone to build real applications, and MotherDuck is the easiest way to help them scale to larger data sizes. Load data with MotherDuck Flights and you can query millions to billions of rows on the fly!
Aug 13, 2026 • Alex Monahan
Use an agent to build data apps with the combo of Vercel V0 and MotherDuck! V0 makes prototyping and deployment easy, while MotherDuck Flights provide seamless data ingestion and MotherDuck handles up to billions of rows. Your agent can even sign up for MotherDuck for you! See a full example app and the prompt that kickstarted it!
Aug 1, 2026 • Alex Monahan, Jacob Matson
Since OpenAI slashed the price of GPT 5.6 Luna by 80% this week, low latency AI-powered answers are finally feasible for less than half a penny per answer, AI and DB costs included. For data questions, GPT 5.6 Luna is intelligence too cheap to meter. Well documented context, rigorous evals, and a fast analytical engine are now the determining factors.
Jul 16, 2026 • Alex Monahan
Waiting in line is no fun! While standing in line at Disney World, a developer dad built a custom data app to pick the perfect next ride. It combines live APIs, historical wait times, and weather data into personal software with MotherDuck's MCP, Dives, and Flights.
Jul 10, 2026 • Alex Monahan
DuckLake is a next generation data lakehouse and open table format. It is significantly simpler and faster than Apache Iceberg or Delta Lake because it uses a SQL database for storing the catalog and metadata. This post covers an architecture deep dive with a detailed Q&A section. DuckLake consists of 3 components: storage, catalog, and compute. Each can be scaled independently, hosted locally with ease, and deployed to the cloud for production. MotherDuck offers managed DuckLake lakehouses for additional simplicity and performance.
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
Jun 18, 2026 • Alex Monahan
Build full data pipelines by prompting your AI agent, no Python required. MotherDuck Flights are perfect for data ingestion, transformation, and activation. Flight Plan templates show you and your agent how to ingest from Postgres, sync Google Sheets, and send Slack alerts.
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
Apr 16, 2026 • Alex Monahan
MotherDuck now supports DuckLake 1.0, the open table lakehouse format designed for simplicity and low latency. Learn what's new in the 1.0 release, including data inlining, clustering, bucket partitioning, geometry and variant types, plus multi-engine support. Learn how DuckLake compares with Apache Iceberg and Delta Lake.
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
Mar 24, 2026 • Alex Monahan
Learn how MotherDuck's Hosted DuckLake combines lakehouse scale (borrowing the best ideas from Apache Iceberg and Delta Lake) with low latency and agent sandbox isolation, making it the simplest data lakehouse for AI-powered agentic workflows.
Mar 9, 2026 • Alex Monahan
DuckDB 1.5 is both faster and easier to use! JSON analysis can be up to 100x faster thanks to the VARIANT type and JSON shredding. Real-world queries are faster, including both basic and complex queries. Writes to Azure are supported, and checkpoint concurrency is dramatically improved.
Mar 2, 2026 • Alex Monahan
Learn how to build custom interactive data visualizations using MotherDuck Dives and Claude Code. From setup to sharing, create refreshable React and SQL-powered visuals with natural language prompts.
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
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 9, 2025 • Alex Monahan, Garrett O'Brien
MotherDuck now supports DuckDB 1.4.1 and DuckLake 0.3, with new SQL syntax, faster sorting, Iceberg interoperability, and more. Read on for the highlights from these major releases.
Aug 4, 2025 • Jacob Matson, Alex Monahan
Learn essential SQL to verify AI-generated queries. Master SELECT, JOIN, and CTEs to safely analyze data with LLMs. Includes DuckDB examples and safety tips
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
0:52:48
Apr 22, 2024 • Alex Monahan, Colton Padden
Develop locally and ship to production confidently with Dagster data pipelines, Evidence dashboards powered by DuckDB and Markdown, and the MotherDuck cloud data warehouse.
YouTube
Data Pipelines
0:00:47
Jan 22, 2024 • Mehdi Ouazza, Alex Monahan
This short of Mehdi with Alex Monahan discusses the lack of evolution of the SQL standard. “(SQL) stands for Structured Query Language, not Standard Query Language”
YouTube
Short
SQL
0:54:38
Jan 5, 2024 • Alex Monahan, Mehdi Ouazza
Explore friendly and even friendlier SQL & DuckDB with Mehdi annd Alex Monahan! They discuss history, its future role in data and show some tips and tricks.
YouTube
SQL
Quack & Code
