Store your research data
next to your code.
You version your code with git. DVC does the same for large files -- genomics, ML weights, simulations, any large research data. We host the storage so you don't have to.
$ dvc remote add ttech s3://my-data $ dvc remote modify ttech endpointurl https://s3.dvc.turtletech.us $ dvc push Uploading 3.2 GB to s3.dvc.turtletech.us... 100% |████████████████████████████| 3.2G/3.2G [02:14] 3 files pushed
EU-hosted
Data stored in Frankfurt, Germany. TurtleTech is an Icelandic company under EU/EEA data protection law.
Works with DVC
Add the remote, push your data. Your collaborators pull the exact version they need.
No surprise charges
Flat monthly rate. Share data with your whole team -- no extra charges for downloads.
From EUR 5/mo
50 GB to 1 TB plans. Need more? Get in touch. Simple pricing, no setup headaches.
Why version your data?
You ran an analysis last month. Your colleague wants to reproduce it. Which version of the data did you use? Git tracks your code but not your large files. DVC fills that gap -- every commit in git points to the exact data that produced your results.
The Turing Way has a good overview of why data version control matters and how DVC fits into a reproducible research workflow.