Guepard

The features provided in the closed Beta are already useful, we can create a Postgres database in just few seconds and start branching, bookmarking like using GIT but for databases. Very practical for test automation or development. Good work !

I used Guepard, and it completely changed the way I manage databases in model fine-tuning and Machine Learning pipelines. Managing databases should be as easy as managing code, and Guepard makes that a reality. With Git-like versioning for structured data, it enables seamless cloning, branching, and snapshots, allowing for effortless experiment tracking, rollback, and data integrity. Now, we can finally say goodbye to complex migrations, accidental data loss, and inefficient workflows, Guepard brings true database version control to ML pipelines and beyond.

As a developer working on Guepard itself, I’ve experienced firsthand how its branching and snapshot capabilities streamline development. Being able to instantly spin up isolated database environments, compare snapshots, and track changes has massively improved our workflow. No more manual dumps, messy migrations, or lost progress just fast, structured, and reliable database management. Guepard isn’t just a tool; it’s a developer experience enhancer! 💡 If you work with databases, you need to try this. 🔥

I use Guepard every day, and it’s an absolute game-changer! It makes managing PostgreSQL databases super fast and effortless with features like instant deployment, branching, and rollbacks. It’s not just efficient but also super cool for streamlining workflows—highly recommend it!