# 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
```
Raw data
{
"_id": null,
"home_page": "https://github.com/ray-project/deltacat",
"name": "deltacat",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": null,
"author": "Ray Team",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/40/0c/3c30d3efa005527dede00f272715abc9cd893c3c76ee7863f7f5add38962/deltacat-1.1.28.tar.gz",
"platform": null,
"description": "# DeltaCAT\n\nDeltaCAT is a Pythonic Data Catalog powered by Ray.\n\nIts data storage model allows you to define and manage fast, scalable,\nACID-compliant data catalogs through git-like stage/commit APIs, and has been\nused to successfully host exabyte-scale enterprise data lakes.\n\nDeltaCAT uses the Ray distributed compute framework together with Apache Arrow\nfor common table management tasks, including petabyte-scale\nchange-data-capture, data consistency checks, and table repair.\n\n## Getting Started\n\n### Install\n\n```\npip install deltacat\n```\n\n### Running Tests\n\n```\npip3 install virtualenv\nvirtualenv test_env\nsource test_env/bin/activate\npip3 install -r requirements.txt\n\npytest\n```\n\n\n",
"bugtrack_url": null,
"license": null,
"summary": "A scalable, fast, ACID-compliant Data Catalog powered by Ray.",
"version": "1.1.28",
"project_urls": {
"Homepage": "https://github.com/ray-project/deltacat"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "62c56cbba3b01a4aba7c90712396e99259608dc509b01355925d0f3502975d74",
"md5": "0b89dec103e045a91491db8efb8f9f95",
"sha256": "a8274d1a0b956c3035e6eb37750231f8aa70cf9d8abb33e1be1e2e75b3ecf278"
},
"downloads": -1,
"filename": "deltacat-1.1.28-py3-none-any.whl",
"has_sig": false,
"md5_digest": "0b89dec103e045a91491db8efb8f9f95",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 304657,
"upload_time": "2025-01-08T23:26:28",
"upload_time_iso_8601": "2025-01-08T23:26:28.846498Z",
"url": "https://files.pythonhosted.org/packages/62/c5/6cbba3b01a4aba7c90712396e99259608dc509b01355925d0f3502975d74/deltacat-1.1.28-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "400c3c30d3efa005527dede00f272715abc9cd893c3c76ee7863f7f5add38962",
"md5": "8982ce6490eb162f79aed933f253b723",
"sha256": "3d54ae779e938be1a33b048c2e991c220bafb819976984ac6400039fb6a35580"
},
"downloads": -1,
"filename": "deltacat-1.1.28.tar.gz",
"has_sig": false,
"md5_digest": "8982ce6490eb162f79aed933f253b723",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 219464,
"upload_time": "2025-01-08T23:26:31",
"upload_time_iso_8601": "2025-01-08T23:26:31.226039Z",
"url": "https://files.pythonhosted.org/packages/40/0c/3c30d3efa005527dede00f272715abc9cd893c3c76ee7863f7f5add38962/deltacat-1.1.28.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-01-08 23:26:31",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "ray-project",
"github_project": "deltacat",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "aws-embedded-metrics",
"specs": [
[
"==",
"3.2.0"
]
]
},
{
"name": "boto3",
"specs": [
[
"~=",
"1.34"
]
]
},
{
"name": "getdaft",
"specs": [
[
"==",
"0.3.6"
]
]
},
{
"name": "numpy",
"specs": [
[
"==",
"1.21.5"
]
]
},
{
"name": "pandas",
"specs": [
[
"==",
"1.3.5"
]
]
},
{
"name": "pyarrow",
"specs": [
[
"==",
"12.0.1"
]
]
},
{
"name": "pydantic",
"specs": [
[
"==",
"1.10.4"
]
]
},
{
"name": "pymemcache",
"specs": [
[
"==",
"4.0.0"
]
]
},
{
"name": "ray",
"specs": [
[
"<",
"2.31.0"
],
[
">=",
"2.20.0"
]
]
},
{
"name": "redis",
"specs": [
[
"==",
"4.6.0"
]
]
},
{
"name": "s3fs",
"specs": [
[
"==",
"2024.5.0"
]
]
},
{
"name": "schedule",
"specs": [
[
"==",
"1.2.0"
]
]
},
{
"name": "tenacity",
"specs": [
[
"==",
"8.1.0"
]
]
},
{
"name": "typing-extensions",
"specs": [
[
"==",
"4.4.0"
]
]
}
],
"lcname": "deltacat"
}