Jordan Tigani

Water Town: The Agent Swarm Data Stack

In a fully agentic world, will we still need analytics at all? A particularly unhinged example might offer some clues.

Consulting the Oracle: Claude on the Future of Data

What does AI think its own impact will be on the data and analytics industry? I asked Claude to share its predictions on the Modern Data Stack, data jobs, and the future of analytics.

Introducing HumanDB: The World's First Human-Powered Analytical Database

Future Casting the Modern Data Stack

If the Modern Data Stack isn't yet dead, it's at least incredibly sleepy. AI is bringing the "long run" closer than ever — here's what might come next for ETL, BI, data warehouses, and the role of data engineers.

Duck, Dive, and Answer

AI is eating the data stack. Introducing Dives, a new MotherDuck feature that lets AI agents build shareable, real-time data visualizations with composable SQL.

Building an answering machine

Discover how MotherDuck's MCP server enables true self-service analytics through AI agents. Query data in plain English with Claude, ChatGPT, or Gemini—no SQL required.

Faster Ducks

Benchmarks, efficiency, and how MotherDuck just got nearly 20% faster.

A Duck Walks into a Lake

DuckDB introduces a new table format, what does it mean for the future of data lakes ?

Separating Storage and Compute in DuckDB

Why separate storage and compute in DuckDB, how we do it in MotherDuck to enable sharing and future work.

Introducing Read Scaling

Read Scaling is now in preview! Read Scaling improves DuckDB SQL query performance by scaling out to multiple DuckDB instances, known as Read Scaling replicas. It is useful to speed up BI dashboards and data apps significantly.

Quacking at the Edge: DuckDB on Raspberry Pi

Using MotherDuck’s Dual Query execution on a Raspberry Pi to play a quack sound when users sign up for our service.

Splicing Duck and Elephant DNA

Introducing the DuckDB + Postgres Extension: You can have your analytics and transact them too with pg_duckdb by DuckDB Labs, MotherDuck, Hydra, Neon and Microsoft.

Redshift Files: The Hunt for Big Data

Jordan Tigani revisits his popular Big Data is Dead blog post with analysis of the data from the Redshift TPC is Not Enough paper.

AI That Quacks: Introducing DuckDB-NSQL, a LLM for DuckDB SQL

Our first Text2SQL model release!

Perf is not enough

Are database benchmarks still relevant ? Let's understand why it's a poor way to choose a database.

The Simple Joys of Scaling Up

Explores why scale-out became so dominant, whether those rationales still hold, and some joyful advantages of scale-up architecture.

Big Data is Dead

Big data is dead. Long live easy data.