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Query MongoDB directly from a notebook

Deepnote securely stores the credentials to your MongoDB instance so you can use pymongo to retrieve, update or delete any data on your MongoDB instance.

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MongoDB in Jupyter notebooks

MongoDB is a document database, that lets you store data in JSON-like documents.

With Deepnote's MongoDB notebook integration, you can query any object from your database directly in Python. In addition to querying for a single or multiple documents, you can also insert, update or delete any JSON document. With Deepnote, you don't need to add an extra layer between your MongoDB data and resulting analysis.

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Snowflake, MongoDB, PostgreSQL and an Amazon S3 bucket connected to a Deepnote project as integrations

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