A scalable, fast, ACID-compliant Data Catalog powered by Ray.
Project description
DeltaCAT
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.
Getting Started
Install
pip install deltacat
Running Tests
pip3 install virtualenv
virtualenv test_env
source test_env/bin/activate
pip3 install -r requirements.txt
pytest
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
deltacat-1.1.14.tar.gz
(213.5 kB
view hashes)
Built Distribution
deltacat-1.1.14-py3-none-any.whl
(299.3 kB
view hashes)
Close
Hashes for deltacat-1.1.14-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7c7ad1d87824ba7852140b6766adc62c02c7f67db89d67b622fa940d29f0b0b6 |
|
MD5 | 3e42fcc40d3d0a238b7860a58c6568a9 |
|
BLAKE2b-256 | 1dd98197c2680afafc5ba8a31038fa882c59975a4168856059192c0ebd439388 |