DuckDB, MotherDuck, Data Engineering and Data Analytics
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2026/08/18 - 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!
2026/08/13 - 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!
2026/08/13 - Simon Späti
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.
2026/08/13 - Simon Späti
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
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
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
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
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
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
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
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
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
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 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
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
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
The DiveMaxxing winners, and what 48 community Dives taught us about what separates a great data visualization from one that just looks polished.
2026/06/18 - 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.
2026/06/16 - Carlin Eng
How MotherDuck replaced its BI tool in under a month using Claude Code agents: a migration that once would have taken 3 people six months and $500K.