A scalable, fast, ACID-compliant Data Catalog powered by Ray.

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  • Author: Ray Team
  • Requires: Python >=3.7
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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

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Project links
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  • Author: Ray Team
  • Requires: Python >=3.7
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1.1.26

1.1.25

1.1.24

1.1.23

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0.2.11

This version

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.1.20

0.1.19

0.1.18b19 pre-release

0.1.18b18 pre-release

0.1.18b17 pre-release

0.1.18b16 pre-release

0.1.18b15 pre-release

0.1.18b14 pre-release

0.1.18b13 pre-release

0.1.18b12 pre-release

0.1.18b11 pre-release

0.1.18b10 pre-release

0.1.18b9 pre-release

0.1.18b8 pre-release

0.1.18b7 pre-release

0.1.18b6 pre-release

0.1.18b5 pre-release

0.1.18b4 pre-release

0.1.18b3 pre-release

0.1.18b1 pre-release

0.1.16

0.1.15

0.1.15.dev0 pre-release

0.1.14

0.1.12

0.1.11

0.1.10

0.1.10.dev0 pre-release

0.1.9

0.1.9.dev0 pre-release

0.1.8

0.1.7 yanked

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

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