Guepard

I started working with Guepard, and honestly, I keep finding new ways to use it. At first, I was just using it for basic testing, but now I'm seeing how powerful it really is. The time travel feature is incredible - when someone reports a bug, I can instantly jump to that exact moment in the database and see what was happening. Used to get anxious about messing up our test databases, but now I just branch them like Git and get to work. Had this tricky bug last week - just rewound the database to when it started happening and found it right away. Makes testing feel a lot safer, you know? And since it plugs right into our CI/CD, deployments are way smoother too.

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've been using Guepard for a while now (as an early adapter), and it’s been a fantastic tool for handling complex business logic. The engine is highly reliable, and I especially appreciate how available, secure and efficient it is. The time-travel (git-like experience) feature it offers for managing workflows such as creating, comparing, and rolling back snapshots, is incredibly intuitive and powerful. It also excels in dynamic workflow automation, making it easy to define and manage multi-step processes, and its ability to handle automated testing pipelines has been a game-changer for creating controlled test environments. While there’s a bit of a learning curve, once you get used to it, it’s incredibly powerful and makes managing workflows much easier. I definitely recommend it for developers who need precision and scalability in their projects!

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.

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 !