JetBrains Datalore

Jupyter-compatible collaborative data science platform
Price on request Contact

Publisher

Jetbrains

Subcategories

IDEs

Average rating

Deze score is berekend door AI op basis van publiek beschikbare informatie.
4.6 / 5

About this software

JetBrains Datalore is a collaborative, Jupyter-compatible data science platform for teams. It provides notebook editing with PyCharm-derived coding assistance, support for Python, R, Scala, and Kotlin, native SQL cells, data-source integrations, and built-in reporting and scheduling tools. Datalore is available as a managed cloud service or as an on-premises deployment with admin controls for SSO, environment management, and private compute resources.

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JetBrains Datalore

JetBrains Datalore
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Benefits

  • Collaborative notebooks: Edit and share Jupyter-compatible notebooks with real-time collaboration.
  • Smart coding assistance: PyCharm-derived code completion, inspections, and quick-fixes inside notebooks.
  • Data integrations: Connect to databases and cloud storage and query with SQL cells.
  • Interactive reporting: Publish interactive reports and hide code cells for stakeholders.
  • Deployment options: Use JetBrains-managed cloud or deploy On-Premises with SSO and admin controls.

Available languages

  • English

Support information

  • Product documentation: Comprehensive user and admin guides on the official JetBrains Datalore documentation site.
  • Support portal: Zendesk-based support portal for submitting Cloud and On-Premises requests.
  • Support contact options: Feedback & Support form inside the product and external support request form.
  • On-Premises assistance: Guidance for installation and configuration is provided via support articles.
  • Support hours and scope: Support is provided Monday to Friday 08:00–17:00 CET as documented.

Frequently asked questions

What is JetBrains Datalore?
A collaborative, Jupyter-compatible data science platform offering notebooks, coding assistance, SQL cells, data integrations, reporting, scheduling, and cloud or on-premises deployment.
Which programming languages does Datalore support?
Datalore supports Python, R, Scala, and Kotlin notebooks, and provides SQL cells for querying data sources.
How does collaboration work in Datalore?
Users can share notebooks or workspaces with view or edit permissions and collaborate in real time with shared environments and versioning.
Can Datalore run on private infrastructure?
Yes; Datalore On-Premises can be deployed in private cloud or on-premises with admin controls and SSO.
What support options are available for Datalore?
JetBrains provides product documentation, a support portal, community forum, and support request forms for Cloud and On-Premises customers.