what are the organizations who has already adopted LakeFs in their system.

Hey Alok! We have hundreds of happy lakeFS users who installed and use lakeFS in their production systems. The main 3 cases that steamed from conversations with our users are: 1 - Isolated test environment - organizations that adopted lakeFS for enabling a zero-copy, isolated test environment of their data. They can verify their code on full-blown production data complexity. And by doing so developing the confidence in their software before pushing to production. 2 - Reproducibility - data practitioners often need to reproduce their data state at a specific time. lakeFS branching mechanism helps them do exactly that. 3 - Rollback - when our production data becomes corrupted, or if we accidentally delete our production data, either automatically with a retention job or manually during troubleshooting, we wish to roll back to a stable data state. lakeFS enables us to do exactly that. Some of the folks even wrote and talked about how lakeFS is a critical piece in their data platform: Winward - a company which built Maritime AI to map the ocean and provide real time risk management, they are using lakeFS for a full blown CI/CD for production data as you can read from their article. Very sophisticated solution. Enables them to promote data in between production stages and create quality gates. Epcor built a similar solution as well. Read about it in their case study. Similarweb - provides top notch web analytics services, they adopted lakeFS to create a complete testing environment where their engineers can develop full confidence in their code before pushing to producing and computing 10s of PB. Here are more case studies for inspiration - • Paige.ai - reproduce cancer diagnostics and research. • Karius - using lakeFS to comply with FDA regulations for the disease diagnostic studies. Volvo is also a lakeFS user, who wrote and talked about how they adopted lakeFS as an essential piece in the MLOps - you are welcome to watch their - on min 15 they discuss why having lakeFS as their data versioning engine is critical for their success. And many more. I hope this inspires you and provide you with more context related to lakeFS, please let me know how I can help!

Thanks @Ankit Srinivas for the details description. 🙂