Query Google Drive Data without Exporting

JetBrains Datalore is a collaborative data science platform that streamlines data exploration, analysis, and visualization through Jupyter-compatible notebooks. It empowers teams with features like automatic visualizations, pre-configured environments, interactive controls, and seamless collaboration functionalities. Datalore offers both cloud-based and self-hosted deployment options, catering to both individual and team-based data science workflows.

The Datalore 2025.4 update introduces Google Drive integration, making it easier to access and analyze data stored in the cloud. With this new connector, users can open and query files directly from their Google Drive folders without manually exporting datasets. This enables seamless data access from within the notebook environment, supporting languages including SQL, Python, Scala, Kotlin, and R. The integration significantly reduces friction in the data preparation process and supports more efficient, language-flexible processes.

To see a full list of what's new in version 2025.4, see our release notes.

Datalore is licensed per user, and is available as a commercial annual subscription license. See our Datalore licensing page for full details.

For more information, visit our Datalore product page.