Work faster by allowing anyone to add comments, questions, and feedback.
Connect to Google Dataproc directly from a notebook
Manage your Google Dataproc and Spark projects directly from a collaborative notebook environment. Use Python and SQL in a single place where you can access your warehouse and your cluster via Spark Connect. Try the new serverless option on Dataproc.
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Spark Connect to Google Dataproc from Jupyter notebooks
Dataproc is a fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks. Use Dataproc for data lake modernization, ETL, and secure data science, at scale, integrated with Google Cloud, at a fraction of the cost.
Collaborative by default
We built collaboration into Deepnote by default because data teams don’t work alone. Deepnote runs seamlessly in the cloud, making environment management a non-issue. Sharing work is as easy as sending a link (think Google Docs).
Build a library of data projects sorted by folders so teammates can get needed information fast.
Share your work with stakeholders by simply sending a link or email invite.
Collaborative commenting
Work faster by allowing anyone to add comments, questions, and feedback.
Organize with ease
Build a library of data projects sorted by folders so teammates can get needed information fast.
Sharing made simple
Share your work with stakeholders by simply sending a link or email invite.
Integrates with your data stack
Deepnote works with the tools and frameworks you’re already using and familiar with. Use Python, SQL, R, TensorFlow, PyTorch, and any of your favorite languages or frameworks. Easily connect to data sources with dozens of native integrations.
Browse integrations →