Datalore Help

Datalore Enterprise

Datalore Enterprise overview

Datalore Enterprise is a self-hosted version of Datalore, tailored for teams that want to have a collaborative data science platform set up on their own infrastructure. You can compare Datalore plans here.

Begin with Datalore Enterprise trial

  1. Watch Datalore overview or schedule a personalized demo with our team.

  2. Choose your installation type. We recommend starting with a 10-minute docker-based installation for a quick Proof of Concept.

  3. Request a free 30-day evaluation license for your team here or by emailing us at

  4. (Optional) Customize your installation:

  5. Evaluate Datalore and share your feedback

  6. Purchase Datalore by asking for a quote at

Compare Datalore installations

You can install Datalore Enterprise by either using Docker on a single machine or in any Kubernetes cluster with the Helm tool. Refer to the table below to compare the installation methods.


Kubernetes using Helm

Installation requirements

Installed docker, easier setup

Kubernetes cluster, experience with Kubernetes technology

Where to install

One dedicated machine (for example, self-hosted machine, EC2 instance on AWS)

Installed on a Kubernetes cluster:

  • Any Kubernetes cluster in a private cloud or on-premises

  • EKS on AWS. Scripts to set up a simple EKS cluster available here.

  • AKS on Azure

  • GKE on GCP

Computational resources

Can use resources of one machine. Each notebook is launched on the same machine in an isolated container.

*External machine connections coming soon.

Can use resources of your whole cluster. Each notebook launches an isolated Kubernetes pod.

Migration options

Docker to Kubernetes installation: available soon

Kustomize (deprecated) to Helm: more details here


Basic email/password authentication. JetBrains Hub is optional (details here).

Environment configuration

Full description of both procedures can be found here.

Email service, external plans, and gift codes

Similar instructions. Details here.

Last modified: 08 June 2022