Tigris Data @tigrisdata.com · Oct 21 Have a massive production dataset you want to play with? You don't need to wait for a full copy. Just fork your source bucket, experiment freely, throw it away, and spin up a new one— instantly. 3/10
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A fork is a copy-on-write clone of your data. You can create a fork from current or past state. Forks are isolated from the source bucket, and they diverge at creation. It's fast and cheap: make as many as you want. 4/10