DuckDB, MotherDuck, Data Engineering and Data Analytics
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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.
2026/07/29 - 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.
2026/06/12 - Simon Späti
The June 2026 DuckDB Ecosystem Newsletter: a local-first ETL/ELT studio, the Quack client-server protocol and its OAuth layer, DuckLake inlining, DuckDB internals, MotherDuck Flights for agent-native ingest, plus a community spotlight on Ryan Dolley.
2026/06/10 - Miguel Miranda, Doo Shim
Build, deploy, and schedule Python data pipelines from a prompt, a SQL function, or the MotherDuck UI.
2026/06/08 - Jacob Matson
Benchmark-maxxing DABstep to 100% and learning that an AI-native semantic layer isn't a description of your data — it's coupled to the model that reads it.
2026/06/05 - Simon Späti
Wes McKinney, creator of pandas and co-creator of Apache Arrow, shares how he works with AI coding agents: spec-driven workflows with superpowers, continuous AI code review with Roborev, token economics, and why vibe coding is dangerous but agentic engineering isn't.
2026/06/04 - Mehdi Ouazza
Run DuckDB SQL inside your Obsidian notes and freeze the results as plain markdown tables, local files or MotherDuck cloud data alike. Your vault becomes a local knowledge base your AI agent can read without ever querying the warehouse