(full disclosure - pachyderm employee)<p>Good question. It&#x27;s funny how much collaboration is overlooked. And you&#x27;re right - it&#x27;s not obvious how a data store can enable collaboration.<p>In the software engineering world, collaboration by means of git is so prevalent its like breathing air. There&#x27;s no such thing today for data scientists! That&#x27;s crazy! Because doing data science involves more variables than writing software alone.<p>Pachyderm stores your data in a git-like manner. We store the deltas and version the data so that its consistently reproducible. We also give you some nice tools to run any code alongside your data.<p>This enables some very basic workflows:<p>1 - You&#x27;re trying to develop your analysis - so work on your code &amp; lock your data<p>2 - You&#x27;re trying to vet new data - develop and version your feature extraction and data together<p>3 - You&#x27;re trying to work on some analysis w colleagues - fork the data + analysis to do your work ... then merge to make sure your work is compatible before deploying<p>There are many more ... but hopefully that makes it a bit more concrete