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DataHub

DataHub: The Metadata Platform for the Modern Data Stack

Built with ❤️ by Acryl Data and LinkedIn

Version PyPI version build & test Docker Pulls Slack PRs Welcome GitHub commit activity License YouTube Medium Follow

🏠 Project Homepage: datahubproject.io


Quickstart | Documentation | Features | Roadmap | Adoption | Demo | Town Hall


📣 Next DataHub town hall meeting on May 26th, 9am-10am PDT (convert to your local time)

✨ Latest Update:

Introduction

DataHub is an open-source metadata platform for the modern data stack. Read about the architectures of different metadata systems and why DataHub excels here. Also read our LinkedIn Engineering blog post, check out our Strata presentation and watch our Crunch Conference Talk. You should also visit DataHub Architecture to get a better understanding of how DataHub is implemented.

Quickstart

Please follow the DataHub Quickstart Guide to get a copy of DataHub up & running locally using Docker. As the guide assumes some basic knowledge of Docker, we'd recommend you to go through the "Hello World" example of A Docker Tutorial for Beginners if Docker is completely foreign to you.

Development

If you're looking to build & modify datahub please take a look at our Development Guide.

Demo and Screenshots

There's a hosted demo environment where you can play around with DataHub before installing.

DataHub Demo GIF

Source Code and Repositories

  • datahub-project/datahub: This repository contains the complete source code for DataHub's metadata model, metadata services, integration connectors and the web application.

Documentation

We have documentation available at https://datahubproject.io/docs/.

Releases

See Releases page for more details. We follow the SemVer Specification when versioning the releases and adopt the Keep a Changelog convention for the changelog format.

Features & Roadmap

Check out DataHub's Features & Roadmap.

Contributing

We welcome contributions from the community. Please refer to our Contributing Guidelines for more details. We also have a contrib directory for incubating experimental features.

Extending

If you need to understand how to extend our model with custom types, please see Extending the Metadata Model

Community

Join our slack workspace for discussions and important announcements. You can also find out more about our upcoming town hall meetings and view past recordings.

Adoption

Here are the companies that have officially adopted DataHub. Please feel free to add yours to the list if we missed it.

Select Articles & Talks

See the full list here.

License

Apache License 2.0.