Never did I imagine I’d have the great honor of meeting the co-inventor of SQL himself

Running Oracle AI Database Free with Apple's native container runtime

Oracle AI Database 23.26.3 Free multi-platform images are now available on container registries docker.io/gvenzl/oracle-free and ghcr.io/gvenzl/oracle-free. With this release, 23.26.1 images have now gone into Unsupported. See the support matrix for more information. If you want to see what’s in 23.26.3, check out the New Features Guide. While there is not too much new in this Release Update for Developers, take note of DATEADD(), a nice little declarative helper function for datetime additions.

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules. - chrislgarry/Apollo-11

A private picture and video frame for family pictures

A German regional court has ruled that Google is directly liable for the content of its AI search overviews. According to the court, previous limited liability protections for search engine operators ...

Today we’re launching Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

For more information on what’s new in Oracle AI Database 23.26.0, see: What's new for Developers in Oracle AI Database 23.26.0 This release introduces new SQL constructs, new functions, and extensions to existing functionality, making analytic SQL cleaner, data integrity even better, and SQL syntax easier. What follows are my favorite features of this release.

📰 Handling Secrets Safely in SQLcl Projects Deployments - Martin Bach demonstrates how to keep your secrets secret 🎉 Introducing Cloudflare@Oracle Cloud Infrastructure: Supercharge Applications and AI Workloads on OCI - A strategic partnership to help organizations accelerate and secure modern applications and AI workloads at scale 📰 🤖 Who is using your Oracle data (AI!), and how to secure it!

Oracle AI Database 23.26.2 Free multi-platform images are now available on container registries docker.io/gvenzl/oracle-free and ghcr.io/gvenzl/oracle-free. With this release, 23.26.0 images have now gone into Unsupported. See the support matrix for more information. If you want to see what's in 23.26.2, check out the New Features Guide. My personal favorite, probably because I was directly involved in this new invention, is a brand new join type JOIN TO ONE.

🏆 How Oracle Red Bull Racing Uses OCI and A4 Acceleron for Real-Time Race Strategy - Read how Red Bull Racing has already simulated billions of possible outcomes using OCI 📰 How to stop updates from hanging forever with wait in Oracle AI Database - Chris Saxon elaborates on the WAIT clause 📰 Partition by Expression - Dani Schnider tests out Partition by Expression 📰 Configuring Microsoft Fabric Mirroring for Oracle Database@Azure – Part 2 - Simo Vilmunen replicates his Oracle Databases on Microsoft Azure

MCP, NVIDIA Nemotron 3 Nano Omni and customer migrations.

It's small, it's vibe coded, it's the Oracle Free App for MacOS.

New join types, data analytics and AI use cases

Enterprise AI is rapidly changing how organizations think about databases, data platforms, and application architecture. Until now, AI systems have been built on fragmented stacks where transactional data lived in relational databases, embeddings were stored in separate vector databases, metadata was stored elsewhere, and governance had to be layered on top of each component. While this worked for MVPs and small-scale environments, it creates major operational and architectural challenges at enterprise scale.

AI, Kubernetes, database and more

AI Benchmarks, Cloud enhancements and more

Lots and lots of Oracle 26ai posts

Announcements, SQL fun and more!

Lots of tools, announcements and some thoughts

This is a short post announcing a small but important change in the way you install SQLcl in GitHub Actions. The latest release allows you to install a specific SQLcl release in addition to the lat…

AI, SQL and financial results

Closer look at Oracle Database setups, AI and a bit of Linux

New SQL features and an extended partnership

Many Oracle guides are written for DBAs or long-time developers, and as a newcomer it feels like you’re expected to already know the jargon. I started in the same place, learning the as I went, and I’m still learning each day. If you're considering using Oracle AI Database, I'm here to make this easy for you. Prefer code samples over blogs?

Lots of good 26 (and) ai content

Customer wins, AI integration and more