AI agents need to run many experiments in parallel. But copying data for every…
This is a dev post classified by Jev as Databases (a launch), kept by the Dev Radar because it carries real work, not commentary.
AI agents need to run many experiments in parallel. But copying data for every experiment can be slow and costly. What if you could fork and manage database data like code? In this video, we’ll explore: 1. Ultra-Fast Cloning — PB-level data scale, ready in about one second. 2. Unlimited Branch Archiving — Create an unlimited number of data branches and archive state at any node. 3. Zero Interference with the Primary Database — Independent WAL and physical isolation, with primary-database performance loss at 0%. Turn data into branches. 🚀
Posted by Tencent Cloud (10.7k followers) 19 h ago · 1 likes · 103 views · view the original post on X. Kept by the Dev Radar as Databases.
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