github.com/pachyderm/pachyderm@v1.13.4/doc/docs/1.9.x/enterprise/overview.md (about) 1 # Overview 2 3  4 5 Pachyderm Enterprise Edition includes everything you need to scale and manage Pachyderm data pipelines in an enterprise setting. It delivers the most recent version of Pachyderm along with: 6 7 - Administrative and security features needed for enterprise-scale implementations of Pachyderm 8 - Visual and interactive interfaces to Pachyderm 9 - Detailed job and data statistics for faster development and data insight 10 11 Pachyderm Enterprise Edition can be deployed easily on top of an existing or new deployment of Pachyderm, and we have engineers available to help enterprise customers get up and running very quickly. To get more information about Pachyderm Enterprise Edition, to ask questions, or to get access for evaluation, please contact us at [sales@pachyderm.io](mailto:sales@pachyderm.io) or on our [Slack](http://slack.pachyderm.io/). 12 13 ## Pipeline Visualization and Data Exploration 14 15  16 17 Pachyderm Enterprise Edition includes a full UI for visualizing pipelines and exploring data. Pachyderm Enterprise will automatically infer the structure of data scientists' DAG pipelines and display them visually. Data scientists and cluster admins can even click on individual segments of the pipelines to see what data is being processed, how many jobs have run, what images and commands are being run, and much more! Data scientists can also explore the versioned data in Pachyderm data repositories and see how the state of data has changed over time. 18 19 ## Access Controls 20 21  22 23 Enterprise-scale deployments require access controls and multitenancy. Pachyderm Enterprise Edition gives teams the ability to control access to production pipelines, data, and configuration. Administrators can silo data, prevent unintended modifications to production pipelines, and support multiple data scientists or even multiple data science groups. 24 25 ## Advanced Statistics 26 27  28 29 Pachyderm Enterprise Edition gives data scientists advanced insights into their data, jobs, and results. For example, data scientists can see how much time jobs spend downloading/uploading data, what data was processed or skipped, and which workers were given particular datums. This information can be explored programmatically or via a number of charts and plots that help users parse the information quickly. 30 31 ## Administrative Controls, Interactive Pipeline Configuration 32 33 With Pachyderm Enterprise, cluster admins don't have to rely solely on command line tools and language libraries to configure and control Pachyderm. With new versions of our UI you can control, scale, and configure Pachyderm interactively.