MariaDB Python Hackathon: Building Momentum with Quality Idea Submissions

The MariaDB Python Hackathon is gaining impressive traction! Following our AMA session (Ask Me Anything) on Friday, September 5th, we’ve seen even more encouraging engagement. Here’s where we stand and what we’re looking for as the idea submission phase continues until the end of September.

Strong Community Engagement

The response has been energizing, so far:

  • Over 2,300 registrations from developers, from India and elsewhere
  • 1,600+ teams formed and actively collaborating
  • Steady stream of quality ideas being submitted

AMA webinar

Our AMA webinar on September 5th drew 164 unique viewers to a short summary of the hackathon and a productive Questions and Answers session. 

🚀 Build the Future with Python & MariaDB – Win $10,000 and Dinner with the MySQL & MariaDB Founder!

Imagine hacking your way to $10,000 in prizes (sponsored by MariaDB plc) – and topping it off with an exclusive dinner in Finland with Monty Widenius, the legendary creator of MySQL and MariaDB. Sounds unreal? That’s exactly what’s at stake in the upcoming MariaDB-Python Hackathon.

Why Join?

This isn’t just another hackathon. It’s your chance to:

  • 💡 Innovate with AI & Databases – Showcase MariaDB’s unique powers, from Vector Search for RAG/LLMs to Oracle compatibility and more.
  • 🔌 Build Killer Integrations – Connect 1MariaDB to frameworks, ORMs, Jupyter notebooks, or any open-source project you love.

Deep dive into Clang sanitizer testing with MariaDB (Post Event)

Earlier I posted that this presentation was about to happen, and it did! I presented to a keen audience of over 20 people live, and number who watched later (it was in a rather early US time, however attracted a number of attendees from Europe, India, Thailand all the way to east of Australia at UTC+10:30.

Below is the video, and the slide outline is available.

The journey to this presentation began as a request to update our Clang version that we use in Buildbot, MariaDB’s CI system.

Youtube Semantic Search is the winner of MariaDB AI RAG Hackathon innovation track

Last week we announced the winners of  the MariaDB AI RAG hackathon that we organized together with the Helsinki Python meetup group. Now is time to go for a deep dive into the innovation track winner. Dymtro Abramov put together an end to end RAG application for making technical meetup videos searchable with semantic relevance (based on their caption texts). We were impressed by the idea and the implementation that is definitely beyond just a proof of concept for AI RAG with MariaDB Vector.

Dmytro, tell us about yourself and why you decided to join the Hackathon?

Helsinki Python Hackathon –  a role model for future MariaDB hackathons!

One of the most fun and rewarding activities the past two-three months has been working with the participants in the Helsinki Python hackathon on MariaDB Vector. Robert already blogged about the outcome and the award winners. Let me reflect a bit more on the entire process, as it has inspired us to do more of the same: Scaling out from Finland to other hackathons.

The goal: MariaDB Vector contributions

Our goal was to solicit contributions related to MariaDB Vector, but we didn’t have precise ideas about exactly what type of contributions or how we should arrange the hackathon. 

Impressive Submissions at the MariaDB AI RAG Hackathon

On Monday we had our final submission day for the MariaDB AI RAG Hackathon. We got several high quality replies in both tracks: integration and innovation.

The quality was so high that we are keen to replicate this hackathon in other locations and are currently looking for cooperation partners. We are truly grateful to the Helsinki Python meetup group without which this would not have been possible. They have a great community, organise excellent events, and played a key role in making the hackathon happen.

We are now reviewing the submissions together with the Helsinki Python meetup group.

Amazon’s AI-agents for MariaDB Contributions

We at MariaDB Foundation are thrilled to see Amazon at the forefront of applying artificial intelligence to open source contributions — with MariaDB as their pilot. 

At the May 6th MariaDB meetup in Bremen, Bardia Hassanzadeh, PhD, presented the Upstream Pilot tool: an AI-based assistant designed to help developers identify, analyze, and resolve open issues in MariaDB more effectively.

This initiative is the most promising we’ve seen for improving the open source contribution process. Bardia and Hugo Wen of Amazon gave us a preview last week and we were already very impressed.

MariaDB Vector and RAG at foss-north 2025

I had the delight of being accepted to talk about “Making AI transparent with RAG on your own data” at foss-north 2025 in Gothenburg, Sweden. On April 14th at Chalmers University, I got to share with a full room on how AI RAG is done with MariaDB Vector, kicking off with a use case about scaling Wikipedia editing with GenAI.

Improving Wikipedia with RAG

I presented a use case example from my experience of editing Wikipedia at scale with GenAI for non-profit Projekt Fredrika.