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Collaborative notebook built for the GCP stack

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Illustration of Google Drive usage in DeepnoteIllustration of Google Drive usage in Deepnote

Effortlessly access Google Drive data

Get instant access to spreadsheets, CSVs, and more with Deepnote's built-in Google Drive integration.

Connect to your Google Drive, and have your data seamlessly sync with your project's /datasets folder. From there, use SQL, pandas or your preferred Python commands to load data into your notebook, jumpstarting your data exploration!

Find out how to connect Google Drive ->
Screenshot of Google BigQuery SQL Query block in a Deepnote notebook

Tap into Google BigQuery

Connect BigQuery to a Notebook with Python, you can read, preview schema, leverage autocomplete, update, or delete any data from BigQuery directly with SQL queries.

The query result can be saved as a DataFrame and later analyzed or transformed in Python, as well as plotted with Deepnote's visualization blocks without writing any code.

Find out how to connect to Deepnote and BigQuery →
Illustration of Google Cloud Storage accessed in a Deepnote notebook

Google Cloud Storage in your notebooks

With Google Cloud Storage, you can easily store any file in the cloud.

When connected to a Deepnote notebook, your Google Cloud Storage will be mounted along with the notebook’s filesystem.

Then you can easily reference, upload, delete, or update any files that live in the bucket.

Find out how to connect to Google Cloud Storage ->
Illustration of Google Container Registry usage in Deepnote

Customize environments with Google GCR

Google Container Registry helps you store, share, and deploy container software anywhere.

Import container images hosted in Google Container Registry to customize your Deepnote environment and add libraries and binaries.

Learn more about using Google GCR in Deepnote →

And more

Google Spanner

Google Spanner has uncompromising scale with no limits performance all interfaced with the familiar Postgres.

Query and explore your secure and performant databases with Python or our integrated SQL blocks. Learn how to connect to Google Spanner with Python->

Google Cloud SQL

Google Cloud SQL simplifies relational database management in the cloud.

Link your Deepnote notebooks to Google Cloud SQL, enabling swift analysis, transformations, and visualizations on securely stored data. Embrace the simplicity of data exploration with Deepnote, while Cloud SQL handles your database administration. Learn how to connect to Google Cloud SQL with Python->

Google AlloyDB

AlloyDB is Google’s fully managed PostgresQL-compatible database service for the most demanding enterprise workloads.

Connect to your Google AlloyDB instances and interact with them directly from Deepnote. Learn how to connect to Google Cloud AlloyDB with Python->

Improve your data security with Deepnote

Security gets better and easier with Deepnote. Stop exporting CSVs and taking screenshots of sensitive data. With Deepnote, you have complete control over data access and security.

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Secure & compliant

All data is secure and encrypted. Deepnote is compliant with HIPAA and SOC 2, GDPR, and more.

RBAC, SSO, directory sync

Control who can access data and code. Enjoy single sign-on via SAML or OIDC connections and sync your directory.
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Custom deployments

Get a secure, compliant, and fully managed Deepnote instance or book a demo to learn about all deployment options.

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Try Deepnote with the GCP stack today

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Illustration of Google Cloud Storage accessed in a Deepnote notebook



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