What Is JetBrains Datalore?

Updated

JetBrains Datalore is a collaborative data science platform built around Jupyter notebooks. It is aimed at individuals and teams who want to write and run notebook code in Python, SQL, R, or Scala with smart coding assistance, execute that code on CPU or GPU hardware, and share results with others. If you only need a local notebook on your own machine, Datalore's value is less obvious; if you need shared, reproducible notebooks and team collaboration, it is designed for exactly that.

What Datalore actually is

Datalore is provided by JetBrains and describes itself as "a collaborative data science platform." The core unit of work is the Jupyter notebook, so anyone already comfortable with Jupyter will recognize the workflow. What Datalore adds on top of a plain notebook is the surrounding platform: coding assistance, remote compute, and collaboration/sharing features.

Core capabilities

Based on the platform's own description, the main things Datalore offers are:

  • Smart coding assistance for Python, SQL, R, and Scala inside Jupyter notebooks.
  • Execution on powerful CPUs and GPUs, rather than being limited to your local machine's resources.
  • Team collaboration, so multiple people can work in the same environment.
  • Easy sharing of results, so notebooks and outputs can be passed to others.

Who it is for

Datalore fits situations such as:

  • A data team that wants a shared notebook environment instead of everyone running separate local setups.
  • Analysts or data scientists who need more compute (including GPUs) than a laptop provides.
  • People who need to hand notebook results to colleagues or stakeholders without manual export gymnastics.

It is a weaker fit if your work is entirely local, single-user, and does not benefit from sharing or remote compute.

Access and deployment options

Datalore is accessed through a login. The sign-in page offers:

  • Email/password login
  • Log in with Google
  • Log in with JetBrains Account
  • Account creation for new users

There is also a Datalore On-Premises option, which the site notes can connect to Okta, SAML, AzureAD, and similar identity providers. That matters if your organization needs to run Datalore inside its own infrastructure or integrate with existing single sign-on.

Pricing

The site links to a dedicated pricing page at jetbrains.com/datalore/buy. The available material does not state specific prices, tiers, or whether any usage is free, so check that page directly for current terms before deciding.

Getting started

  1. Go to datalore.jetbrains.com.
  2. Log in with an existing account (email, Google, or JetBrains Account), or create a new account if you have not signed up.
  3. If your organization needs self-hosted deployment or SSO, evaluate Datalore On-Premises instead of the hosted login flow.

For help beyond the product itself, the site points to support, documentation, a community forum, and a blog.