What Postgres can’t do alone, it can tackle with... DuckDB. The pg_duckdb extension shows how two databases can work hand in hand by querying analytical data with DuckDB and joining it with transactional data in Postgres. The extension embeds DuckDB directly into Postgres. DuckDB literally runs inside a Postgres process. How it works (see diagram): 1. An app sends a query to Postgres joining portfolio data (Postgres) with historical market data (lakehouse) 2. pg_duckdb detects lakehouse access and delegates execution to DuckDB 3. DuckDB pulls required market data from the lakehouse, queries Postgres tables, and performs the join 4. Postgres returns the final result to the appshow more

pgrust is 300x faster than Postgres on analytics. 10x... of that comes from our column format, pgrcolumnar. With it, we read 1/10th the data Postgres needs to answer an analytical query. We designed pgrcolumnar so types have the same on-disk representation as they do in Postgresshow more

You can't predict what data an AI agent will... need. With DuckDB now inside Aurora PostgreSQL, one endpoint reaches your live operational data and everything in your data lake, with nothing to copy or keep in sync. DuckDB remains open source.show more

This is how long it takes to load data... from your Prisma Postgres DB using Accelerate Stay tuned, video drops tomorrow!show more

First try with Vercel's new Postgres database! Was so... quick to set up 🤯 here I've got a collaborative form built with Liveblocks, and I'm having it automatically sync data to the database. More info 🧵show more

Big moment for Postgres! Search has always been Postgres'... weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.show more

🚀 Launching today: Postgres terminal written in Rust 🦀🐘... One terminal for all your Postgres databases. → Add any database in one command → Monitor health, queries, indexes & activity → Switch between databases instantly → Connect with pgbot for deeper diagnostics → Runs locally Free & open source Think htop for Postgres, but built for developers + AI agents. GitHub ↓show more

There's always risk with an AI-built app. But the... real exposure isn't the app. It's the database it spun up with your PII and no governance. Launched at Snowflake Summit 2026: the 1st vibe coding App Database on Snowflake Postgres. Build apps with AI, keep the data inside your Snowflake perimeter.show more

you can now get data from auth'd APIs with... DuckDB 🤯 ya know, to get your stripe data or whatever (it's not documented yet)show more

Go from single-node Postgres to highly-available Postgres in one... click 🐘 NOT production ready. Every time you use it in production, the Product Engineer who built it starts sweating Try it out and give us feedbackshow more

I was able to build an entire admin dashboard... using shadcn hooked up to live data in postgres in ~4 hours using Cursor todayshow more

Postgres 19 can query relationships like a GRAPH NOT... with a long manual join chain. With a path: customer → bought → product product ← bought ← similar customer similar customer → follows → brand That is a recommendation system in one readable pattern. SQL/PGQ finds the relationship. COLUMNS decides what comes back. Postgres keeps eating the backend stack.show more

The most important database feature you hope to never... need: Backups. What Postgres does under the hood is far more interesting than a simple data copy. We're diving deep into the process in our latest article.show more

Operational databases have long relied on tightly coupled compute... and storage. This architecture creates resource contention and pushes teams to manage infrastructure rather than build. As applications become more real time and automated, the transactional layer needs to adapt. Databricks Lakebase is built for that evolution: • Familiar Postgres semantics for app developers • Compute separated from durable state • Operational data running directly on the lakehouse • Serverless autoscaling (including scale to zero), branching, and recovery to match agent-driven workload Now generally available:show more

The whole reason Jason Seibel and I rewrote Postgres... in Rust is we wanted a way to prevent the types of bugs you see in C One guarantee we were able to encode in Rust is that an allocation can't outlive the memory context it was created in. Postgres has no safeguards to prevent this, but in pgrust, Rust will prevent this from happeningshow more

Analyzing large vector datasets on Source Cooperative with #DuckDB... 🦆Using the 75 GB National Wetlands Inventory as an example. It used to take me hours to get summary statistics of the dataset, now it takes seconds with DuckDB 🚀 Dataset: Colab: #geospatial #dataviz #opendatashow more

🚨Introducing a new database: PGX 🐘 Postgres for AI... agents. In Rust. One runtime. Thousands of Postgres databases. ⚡ Up to 100× less idle memory ⚡ 1,000 databases in just 659 MB RAM ⚡ Clone a 674 MB database in 85 ms ⚡ ~0.7 MB per idle database RUST. OPEN SOURCE. FREE. No containers per database. No heavyweight instances. No production baggage. Real Postgres. Built to be disposable.show more

the reality when Supabase disappoints with their launch on... Monday shipping just another boring postgres plugin #SupaAssshow more

Postgres 17 is now available on Neon!

Real, actual Postgres right from your browser! Learning a... lot. This is funshow more