# Get Started With DataHub This section is focused on helping you get up and running with DataHub as quickly as possible. ## Get Started with Self-Hosted DataHub This is a great place to start if you're new to DataHub and are interested in taking the open-source project for a spin. You'll learn how to: * Deploy DataHub on your local machine * Ingest sample data to get a feel for what is possible in DataHub * Add and invite users to DataHub * Troubleshoot common issues ### Prerequisites Before you go further, ensure you have the following installed: * [Python >=3.7.0](https://www.python.org/downloads/) * [Docker](https://docs.docker.com/get-docker/) * [jq](https://stedolan.github.io/jq/download/) * [Docker Compose](https://github.com/docker/compose/blob/master/INSTALL.md) - if using Linux :::note Make sure to allocate enough hardware resources for Docker! We recommend the following configuration: 2 CPUs, 8GB RAM, 2GB Swap area, and 10GB disk space. :::

Get Started with Self-Hosted DataHub

## Get Started with Managed DataHub [Acryl Data](https://www.acryldata.io/product) provides a fully managed, premium version of DataHub. In this section, you'll learn how to: * Add and invite users to DataHub * Configure Slack notifications * Understand Approval Workflows ### Prerequisites Before you go further, you'll need to have a DataHub instance provisioned. The Acryl Integrations Team will provide you with the following once it has been deployed: * The URL for your Acryl instance, i.e. `https://.acryl.io` * Admin account credentials for logging into the DataHub UI

Get Started with Managed DataHub