DataHub

# DataHub: The Data Discovery Platform for the Modern Data Stack ### Built with ❤️ by [DataHub](https://datahub.com) and [LinkedIn](https://engineering.linkedin.com)
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--- ### 🏠 Docs: [docs.datahub.com](https://docs.datahub.com/) [Quickstart](https://docs.datahub.com/docs/quickstart) | [Features](https://docs.datahub.com/docs/features) | [Roadmap](https://feature-requests.datahubproject.io/roadmap) | [Adoption](#adoption) | [Demo](https://demo.datahub.com/) | [Town Hall](https://docs.datahub.com/docs/townhalls) --- > 📣 DataHub Town Hall is the 4th Thursday at 9am US PT of every month - [add it to your calendar!](https://lu.ma/datahubevents/) > > - Town-hall Zoom link: [zoom.datahubproject.io](https://zoom.datahubproject.io) > - [Meeting details](docs/townhalls.md) & [past recordings](docs/townhall-history.md) > ✨ DataHub Community Highlights: > > - Read our Monthly Project Updates [here](https://medium.com/datahub-project/tagged/project-updates). > - Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At DataHub: [Data Engineering Podcast](https://www.dataengineeringpodcast.com/acryl-data-datahub-metadata-graph-episode-230/) > - Check out our most-read blog post, [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained) @ LinkedIn Engineering Blog. > - Join us on [Slack](docs/slack.md)! Ask questions and keep up with the latest announcements. ## Introduction DataHub is an open-source data catalog for the modern data stack. Read about the architectures of different metadata systems and why DataHub excels [here](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained). Also read our [LinkedIn Engineering blog post](https://engineering.linkedin.com/blog/2019/data-hub), check out our [Strata presentation](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019) and watch our [Crunch Conference Talk](https://www.youtube.com/watch?v=OB-O0Y6OYDE). You should also visit [DataHub Architecture](docs/architecture/architecture.md) to get a better understanding of how DataHub is implemented. ## Features & Roadmap Check out DataHub's [Features](docs/features.md) & [Roadmap](https://feature-requests.datahubproject.io/roadmap). ## Demo and Screenshots There's a [hosted demo environment](https://demo.datahub.com/) courtesy of DataHub where you can explore DataHub without installing it locally. ## Quickstart Please follow the [DataHub Quickstart Guide](https://docs.datahub.com/docs/quickstart) to run DataHub locally using [Docker](https://docker.com). ## Development If you're looking to build & modify datahub please take a look at our [Development Guide](https://docs.datahub.com/docs/developers).

## Source Code and Repositories - [datahub-project/datahub](https://github.com/datahub-project/datahub): This repository contains the complete source code for DataHub's metadata model, metadata services, integration connectors and the web application. - [acryldata/datahub-actions](https://github.com/acryldata/datahub-actions): DataHub Actions is a framework for responding to changes to your DataHub Metadata Graph in real time. - [acryldata/datahub-helm](https://github.com/acryldata/datahub-helm): Helm charts for deploying DataHub on a Kubernetes cluster - [acryldata/meta-world](https://github.com/acryldata/meta-world): A repository to store recipes, custom sources, transformations and other things to make your DataHub experience magical. - [dbt-impact-action](https://github.com/acryldata/dbt-impact-action): A github action for commenting on your PRs with a summary of the impact of changes within a dbt project. - [datahub-tools](https://github.com/makenotion/datahub-tools): Additional python tools to interact with the DataHub GraphQL endpoints, built by Notion. - [business-glossary-sync-action](https://github.com/acryldata/business-glossary-sync-action): A github action that opens PRs to update your business glossary yaml file. - [mcp-server-datahub](https://github.com/acryldata/mcp-server-datahub): A [Model Context Protocol](https://modelcontextprotocol.io/) server implementation for DataHub. ## Releases See [Releases](https://github.com/datahub-project/datahub/releases) page for more details. We follow the [SemVer Specification](https://semver.org) when versioning the releases and adopt the [Keep a Changelog convention](https://keepachangelog.com/) for the changelog format. ## Contributing We welcome contributions from the community. Please refer to our [Contributing Guidelines](docs/CONTRIBUTING.md) for more details. We also have a [contrib](contrib) directory for incubating experimental features. ## Community Join our [Slack workspace](https://datahub.com/slack?utm_source=github&utm_medium=readme&utm_campaign=github_readme) for discussions and important announcements. You can also find out more about our upcoming [town hall meetings](docs/townhalls.md) and view past recordings. ## Security See [Security Stance](docs/SECURITY_STANCE.md) for information on DataHub's Security. ## Adoption Here are the companies that have officially adopted DataHub. Please feel free to add yours to the list if we missed it. - [ABLY](https://ably.team/) - [Adevinta](https://www.adevinta.com/) - [Banksalad](https://www.banksalad.com) - [Cabify](https://cabify.tech/) - [ClassDojo](https://www.classdojo.com/) - [Coursera](https://www.coursera.org/) - [CVS Health](https://www.cvshealth.com/) - [DefinedCrowd](http://www.definedcrowd.com) - [DFDS](https://www.dfds.com/) - [Digital Turbine](https://www.digitalturbine.com/) - [Expedia Group](http://expedia.com) - [Experius](https://www.experius.nl) - [Geotab](https://www.geotab.com) - [Grofers](https://grofers.com) - [Haibo Technology](https://www.botech.com.cn) - [hipages](https://hipages.com.au/) - [inovex](https://www.inovex.de/) - [Inter&Co](https://inter.co/) - [IOMED](https://iomed.health) - [Klarna](https://www.klarna.com) - [LinkedIn](http://linkedin.com) - [Moloco](https://www.moloco.com/en) - [N26](https://n26brasil.com/) - [Optum](https://www.optum.com/) - [Peloton](https://www.onepeloton.com) - [PITS Global Data Recovery Services](https://www.pitsdatarecovery.net/) - [Razer](https://www.razer.com) - [Rippling](https://www.rippling.com/) - [Showroomprive](https://www.showroomprive.com/) - [SpotHero](https://spothero.com) - [Stash](https://www.stash.com) - [Shanghai HuaRui Bank](https://www.shrbank.com) - [s7 Airlines](https://www.s7.ru/) - [ThoughtWorks](https://www.thoughtworks.com) - [TypeForm](http://typeform.com) - [Udemy](https://www.udemy.com/) - [Uphold](https://uphold.com) - [Viasat](https://viasat.com) - [Wealthsimple](https://www.wealthsimple.com) - [Wikimedia](https://www.wikimedia.org) - [Wolt](https://wolt.com) - [Zynga](https://www.zynga.com) ## Select Articles & Talks - [DataHub Blog](https://medium.com/datahub-project/) - [DataHub YouTube Channel](https://www.youtube.com/channel/UC3qFQC5IiwR5fvWEqi_tJ5w) - [Optum: Data Mesh via DataHub](https://opensource.optum.com/blog/2022/03/23/data-mesh-via-datahub) - [Saxo Bank: Enabling Data Discovery in Data Mesh](https://medium.com/datahub-project/enabling-data-discovery-in-a-data-mesh-the-saxo-journey-451b06969c8f) - [Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At DataHub](https://www.dataengineeringpodcast.com/acryl-data-datahub-metadata-graph-episode-230/) - [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained) - [Driving DataOps Culture with LinkedIn DataHub](https://www.youtube.com/watch?v=ccsIKK9nVxk) @ [DataOps Unleashed 2021](https://dataopsunleashed.com/#shirshanka-session) - [The evolution of metadata: LinkedIn’s story](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019) @ [Strata Data Conference 2019](https://conferences.oreilly.com/strata/strata-ny-2019.html) - [Journey of metadata at LinkedIn](https://www.youtube.com/watch?v=OB-O0Y6OYDE) @ [Crunch Data Conference 2019](https://crunchconf.com/2019) - [DataHub Journey with Expedia Group](https://www.youtube.com/watch?v=ajcRdB22s5o) - [Data Discoverability at SpotHero](https://www.slideshare.net/MaggieHays/data-discoverability-at-spothero) - [Data Catalogue — Knowing your data](https://medium.com/albert-franzi/data-catalogue-knowing-your-data-15f7d0724900) - [DataHub: A Generalized Metadata Search & Discovery Tool](https://engineering.linkedin.com/blog/2019/data-hub) - [Open sourcing DataHub: LinkedIn’s metadata search and discovery platform](https://engineering.linkedin.com/blog/2020/open-sourcing-datahub--linkedins-metadata-search-and-discovery-p) - [Emerging Architectures for Modern Data Infrastructure](https://future.com/emerging-architectures-for-modern-data-infrastructure-2020/) See the full list [here](docs/links.md). ## License [Apache License 2.0](./LICENSE).