What is Databag?
Databag is an open-source version control system designed specifically for tabular data such as CSV files. It allows you to track changes to your data sets over time, much like developers use Git to track changes to source code.
Some key capabilities of Databag include:
- Ability to commit new versions of a CSV file to a repository, along with a commit message describing the changes.
- View historical changes and compare differences between versions of your data.
- Roll back to previous versions of your data if needed.
- Branching and merging capabilities to isolate work and integrate changes.
- Collaboration features to share data repositories with other Databag users.
Databag can help data teams work together on analytics, business intelligence, machine learning, or any projects involving tabular data that changes over time. It provides version control, change tracking, and collaboration tools tailored specifically for CSVs and structured data. This allows more transparency, accountability, and reproduciblity around data pipeline and analysis work.
As an open source tool, Databag is freely available to download and use. It has command line, Python, JavaScript, and REST interfaces to fit into a variety of tech stacks. Databag integrates nicely into data science workflows and works well for developers, analysts, and data engineers alike.