Install Datalore on the Kubernetes cluster of your choice, be it on-premises or a private cloud. Kubernetes setup is the most customizable method, but it requires knowledge of Kubernetes technology. Find more information in our installation guide.
Here is how the Kubernetes setup looks:
Datalore is available for hosting in networks that have no access to the internet.
Configure almost any possible method of user authentication to let your team seamlessly access Datalore. The Enterprise version includes JetBrains Hub – the module for connecting authentication providers.
Create multiple base environments out of custom Docker images. You can pre-configure all the dependencies, package versions, and build tool configurations so that your team doesn’t spend time on installing things manually and syncing package versions.
Different members of your data science team might need different computational resources. Datalore allows you to create separate usage plans for those who require high-efficiency GPUs and for those who need a lot of regular CPU computations, for example. You can specify how many hours each user is allowed to run each machine type, and restrict some users from running high-cost machines.
You can turn on user action logging inside your on-premises setups. The logs will help you investigate any compliance requests.