Sold by: Deepnote
Deployed on AWS
Deepnote is a game-changing solution for modern data teams to solve their hardest problems with ease. It fully integrates AI into a beautiful notebook environment to enable both technical and non technical users work with their data. Real-time collaboration, powerful data apps, visualizations, 100s of integrations, and scalable compute resources make it the ultimate tool for efficient data teams.
4.5
Overview
Deepnote is a collaborative data workspace where data science and analytics teams turn to solve their hardest problems. With Deepnote, data teams can:
- Explore data by simply opening a browser, connecting to one or many data sources, and code with Python, SQL, or both together.
- Get to answers faster by collaborating via a shared, cloud environment and with productivity features for commenting, version control, scheduling, autocomplete, and a lot more.
- Share analysis with stakeholders by sending a link and make insights more discoverable through a shared workspace that organizes all of your data projects.
Highlights
- Explore data by simply opening a browser, connecting to one or many data sources, and code with Python, SQL, or both together.
- Get to answers faster by collaborating via a shared, cloud environment and with productivity features for commenting, version control, scheduling, autocomplete, and a lot more.
- Share analysis with stakeholders by sending a link and make insights more discoverable through a shared workspace that organizes all of your data projects.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Enterprise Plan | 10 editors + unlimited viewers | $22,000.00 |
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Delivery details
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Resources
Vendor resources
Support
Vendor support
Email: help@deepnote.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Deepnote is a game-changing solution for modern data teams to solve their hardest problems with ease. It fully integrates AI into a beautiful notebook environment to enable both technical and non technical users work with their data. Real-time collaboration, powerful data apps, visualizations, 100s of integrations, and scalable compute resources make it the ultimate tool for efficient data teams.
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Customer reviews
Information Technology and Services
Versatile Tool Empowering Teams with AI and Multi-Source Connectivity
Reviewed on Jan 06, 2026
Review provided by G2
What do you like best about the product?
Versatility of the tool to write SQL and python code, as well as connecting to multiple data sources.
The AI features also provides more autonomy for less tech/data savvy teammembers.
The AI features also provides more autonomy for less tech/data savvy teammembers.
What do you dislike about the product?
Lack of more options of tools/widgets/cells to explore data more freely. One example is the lack of a pivot table component.
What problems is the product solving and how is that benefiting you?
Decentralize the Analytics role to the product and business teams, whilst demanding low support from tech teams.
ali o.
Seamless Integrations and Effortless AI Assistance
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
I appreciate how the AI Assistant integrates seamlessly, both within the Notebook style and as a sidebar. In addition, its native integrations with third-party services make it easy to use the tools you want directly in your notebook.
What do you dislike about the product?
It's not that I dislike it; I just hope they enhance the agent's capabilities so it can operate more autonomously. I would also like to see improvements in how it addresses issues, especially when it suggests fixes on third-party platforms accessed through the notebook.
What problems is the product solving and how is that benefiting you?
I am able to connect my data and computing resources to run machine learning and AI development tasks without having to worry about managing the underlying infrastructure.
Shi Y.
coding with students
Reviewed on Nov 23, 2025
Review provided by G2
What do you like best about the product?
online coding and collaboration with colleagues without environment deployment.
What do you dislike about the product?
The limitation on AI application for educational account.
What problems is the product solving and how is that benefiting you?
I use deepnote for analysing data with my students.
Arthur F.
User-Friendly Notebooks easy conversion from SQL to dataframes
Reviewed on Oct 27, 2025
Review provided by G2
What do you like best about the product?
Easy to use notebooks, ai assistant and easy SQL to dataframes conversion
What do you dislike about the product?
The built-in charts cells needs some improvements
What problems is the product solving and how is that benefiting you?
Data exploring and machine learning code
Viola M.
Easy Setup, Powerful AI Assistance
Reviewed on Oct 27, 2025
Review provided by G2
What do you like best about the product?
The platform is easy to set up, and I appreciate being able to use both SQL and Python. Deepnote AI is also extremely helpful, especially when it comes to debugging and quickly visualizing data.
What do you dislike about the product?
There isn't much to add at this point, but I'm interested to see how Deepnote AI develops in the future. Occasionally, it has difficulty keeping up with multiple follow-up requests, yet overall, my experience has been positive.
What problems is the product solving and how is that benefiting you?
I used it to assist me with a quick data analysis using DeepAI, and it worked well.