DeltaCAT is a Pythonic Data Catalog powered by Ray.
Its data storage model allows you to define and manage fast, scalable, ACID-compliant data catalogs through git-like stage/commit APIs, and has been used to successfully host exabyte-scale enterprise data lakes.
DeltaCAT uses the Ray distributed compute framework together with Apache Arrow for common table management tasks, including petabyte-scale change-data-capture, data consistency checks, and table repair.
pip install deltacat
pip3 install virtualenv
virtualenv test_env
source test_env/bin/activate
pip3 install -r requirements.txt
pytest
FAQs
A scalable, fast, ACID-compliant Data Catalog powered by Ray.
We found that deltacat demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 8 open source maintainers collaborating on the project.
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