2026/08/25 - Jordan Tigani
MOTHERDUCK BLOG
MOTHERDUCK BLOGDuckDB, MotherDuck, Data Engineering and Data Analytics
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2026/08/20 - Jacob Matson, Alex Monahan
AI Writes the Semantic Layer
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?
2026/08/18 - Alex Monahan
Scalable Data Apps with MotherDuck & Replit
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!
2026/08/18 - Alex Monahan
Scalable Data Apps with MotherDuck & Replit
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!
2026/08/13 - Alex Monahan
Vibe Code Data Apps with Vercel V0 & MotherDuck
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!
2026/08/13 - Simon Späti
DuckDB Ecosystem Newsletter : August 2026
The August 2026 DuckDB Ecosystem Newsletter: giving every agent its own embedded DuckDB, the ADBC extension reaching 30+ external databases, async I/O landing in v2.0, ISO GQL graph queries, Perspective 5.0 pushdown, plus a community spotlight on Kyle Cheung.
2026/08/10 - Adithya Krishnan, Sheila Sitaram, Garrett O'Brien
Agents can sign up for MotherDuck
AI agents can now sign up for MotherDuck with a single API call - no forms, no credentials, no human in the loop (unless you want to be, of course). Experiment faster, share data, or just give your agents a ducking fast set of tools for analytics.
2026/08/04 - Mehdi Ouazza
I let an agent sign itself up to a cloud data warehouse, then replayed every step
AI agents can now provision a Postgres database, an email inbox or a data warehouse with no signup and no credit card. Here is how MotherDuck's agent signup endpoint works, and how motherduck.com/try lets you inspect, share and replay everything the agent did.
2026/08/01 - Alex Monahan, Jacob Matson
OpenAI Just Made Analytics 10x Cheaper
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.
2026/07/31 - Simon Späti
Figma for Agents: How Airflow's Creator Coordinates AI ft. Maxime Beauchemin
Maxime Beauchemin, creator of Airflow and Superset, shares how he uses AI agents for data engineering: orchestrating agents on a shared canvas with Agor, context layers and semantics, Okta for Agents security, and automating CEO work with AI assistants.
2026/07/29 - Garrett O'Brien, Hamilton Ulmer, Till Döhmen, Jacob Matson
Context belongs in the warehouse
Introducing Guides, MotherDuck's context layer for AI agents. More accurate queries, lower token spend, and distributed context for your entire organization.
2026/07/20 - Ryan Boyd
Announcing the Data Outpost Conference
Data Outpost is a new conference for data and AI builders, coming to San Francisco November 4-5, 2026. The next evolution of Small Data SF: two days of workshops, talks, and real time with the people building the data layer AI depends on.
2026/07/16 - Alex Monahan
Developer Dad Does Disney: Vacationing in the Personal Software Era
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.
2026/07/15 - Simon Späti
DuckDB Ecosystem Newsletter : July 2026
July's DuckDB Ecosystem Newsletter: a portable R2 + DuckLake analytics stack, why PostHog rebuilt on DuckDB over ClickHouse, DuckCon #7 and the 1.5.4 / 1.4.5 releases, a SedonaDB WASM build for spatial SQL in the browser, and more.
2026/07/14 - Mehdi Ouazza
Self-hosting DuckDB: the road to production
A practical map of self-hosting DuckDB, from a laptop to a full data platform: the architectures people actually build at each stage, benchmarks that show the trade-offs, and the boxes you end up maintaining, so you can make an honest build-versus-buy call.
2026/07/10 - Alex Monahan
DuckLake Architecture Deep Dive
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.
2026/07/07 - Mehdi Ouazza
How to build robust data pipelines with AI
AI pipelines run green and still return wrong numbers. Four habits to turn a one-shot prompt into a data pipeline you can actually trust.
2026/06/29 - Mehdi Ouazza
What if a full data platform was one prompt away?
We launched Flights, an AI-native Python runtime in MotherDuck. Here's how I built a full end-to-end data pipeline (two scheduled Flights and a Dive dashboard) from a single prompt, using an AI coding agent and the MotherDuck MCP.
2026/06/24 - Jerel Navarrete, Jacob Matson
What makes a great Dive? What DiveMaxxing taught us
The DiveMaxxing winners, and what 48 community Dives taught us about what separates a great data visualization from one that just looks polished.