# DataHub: The Metadata Platform for the Modern Data Stack ## Built with ❤️ by [Acryl Data](https://acryldata.io) and [LinkedIn](https://engineering.linkedin.com) [](https://github.com/datahub-project/datahub/releases/latest) [](https://badge.fury.io/py/acryl-datahub) [](https://github.com/datahub-project/datahub/actions?query=workflow%3A%22build+%26+test%22+branch%3Amaster+event%3Apush) [](https://hub.docker.com/r/linkedin/datahub-gms) [](https://slack.datahubproject.io) [](https://github.com/datahub-project/datahub/blob/master/docs/CONTRIBUTING.md) [](https://github.com/datahub-project/datahub/pulls?q=is%3Apr) [](https://github.com/datahub-project/datahub/blob/master/LICENSE) [](https://www.youtube.com/channel/UC3qFQC5IiwR5fvWEqi_tJ5w) [](https://medium.com/datahub-project) [](https://twitter.com/datahubproject) ### 🏠 Hosted DataHub Docs (Courtesy of Acryl Data): [datahubproject.io](https://datahubproject.io/docs) --- [Quickstart](https://datahubproject.io/docs/quickstart) | [Features](https://datahubproject.io/docs/features) | [Roadmap](https://feature-requests.datahubproject.io/roadmap) | [Adoption](#adoption) | [Demo](https://datahubproject.io/docs/demo) | [Town Hall](https://datahubproject.io/docs/townhalls) --- > 📣 DataHub Town Hall is the 4th Thursday at 9am US PT of every month - [add it to your calendar!](https://rsvp.datahubproject.io/) > > - 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://blog.datahubproject.io/tagged/project-updates). > - Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data: [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 metadata platform 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://datahubproject.io/docs/demo) courtesy of [Acryl Data](https://acryldata.io) where you can explore DataHub without installing it locally ## Quickstart Please follow the [DataHub Quickstart Guide](https://datahubproject.io/docs/quickstart) to get a copy of DataHub up & running locally using [Docker](https://docker.com). 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](https://docker-curriculum.com) if Docker is completely foreign to you. ## Development If you're looking to build & modify datahub please take a look at our [Development Guide](https://datahubproject.io/docs/developers). [](https://datahubproject.io/docs/demo) ## 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): Repository of 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 ## 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://slack.datahubproject.io) for discussions and important announcements. You can also find out more about our upcoming [town hall meetings](docs/townhalls.md) 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. - [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/) - [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/) - [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) - [Razer](https://www.razer.com) - [Saxo Bank](https://www.home.saxo) - [Showroomprive](https://www.showroomprive.com/) - [SpotHero](https://spothero.com) - [Stash](https://www.stash.com) - [Shanghai HuaRui Bank](https://www.shrbank.com) - [ThoughtWorks](https://www.thoughtworks.com) - [TypeForm](http://typeform.com) - [Udemy](https://www.udemy.com/) - [Uphold](https://uphold.com) - [Viasat](https://viasat.com) - [Wikimedia](https://www.wikimedia.org) - [Wolt](https://wolt.com) - [Zynga](https://www.zynga.com) ## Select Articles & Talks - [DataHub Blog](https://blog.datahubproject.io/) - [DataHub YouTube Channel](https://www.youtube.com/channel/UC3qFQC5IiwR5fvWEqi_tJ5w) - [Optum: Data Mesh via DataHub](https://optum.github.io/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 Acryl Data](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).