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.
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Pricing
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Dimension | Description | Cost/12 months |
|---|---|---|
Enterprise Plan | 10 editors + unlimited viewers | $22,000.00 |
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Resources
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Support
Vendor support
Email: help@deepnote.com
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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
Harrison T.
Easy collaboration with AI-Powered coding assistance
Reviewed on May 05, 2026
Review provided by G2
What do you like best about the product?
Collaboration features that makes it easy to work on a project within the team and AI-driven coding suggestions and assistance
What do you dislike about the product?
Sometimes it can be slow with large data sets
What problems is the product solving and how is that benefiting you?
Ability to code using natural language and the iteration process behind shipping code with the support, resources, and interface that makes it straightforward to use
Marine A.
Clarity for complex nutrition work
Reviewed on Apr 28, 2026
Review provided by G2
What do you like best about the product?
Working with Deepnote feels like upgrading from scattered notes to clear, structured thinking.
At pro-nutrition.fr, where data can get complex fast, it helps turn raw information into real understanding. It’s not just about analysis, it’s about clarity, flow, and collaboration.
Deepnote doesn’t just speed things up, it deepens the way you think. highly recommend it
At pro-nutrition.fr, where data can get complex fast, it helps turn raw information into real understanding. It’s not just about analysis, it’s about clarity, flow, and collaboration.
Deepnote doesn’t just speed things up, it deepens the way you think. highly recommend it
What do you dislike about the product?
One downside of Deepnote is that it can feel a bit heavy for quick, simple tasks, especially if you just want to run a fast analysis without the full collaborative setup.
It really shines in team environments, but for solo, lightweight work, it might be more than you need.
It really shines in team environments, but for solo, lightweight work, it might be more than you need.
What problems is the product solving and how is that benefiting you?
At pro-nutrition, it keeps everything, data, analysis, insights, in one place, so I can focus on understanding patterns and making better, more personalized recommendations.
Jolina Mae A.
Deepnote’s Real-Time Collaboration and Cloud Notebooks Shine
Reviewed on Apr 24, 2026
Review provided by G2
What do you like best about the product?
10 character that good in deepnote
If you mean good characters (features) in Deepnote, here are 10 strong ones:
Real-time collaboration – multiple users can edit notebooks simultaneously (like Google Docs).
Cloud-based – no need to install; works directly in your browser.
Integrated environment – supports Python, SQL, and more in one place.
Auto-saving – your work is saved continuously.
Version history – track and restore previous notebook versions.
Easy sharing – share projects via link with permissions.
Built-in data connections – connect to databases, APIs, and files easily.
Interactive outputs – supports charts, tables, and visualizations.
Commenting system – collaborate through comments inside notebooks.
Environment management – control packages and dependencies easily
If you mean good characters (features) in Deepnote, here are 10 strong ones:
Real-time collaboration – multiple users can edit notebooks simultaneously (like Google Docs).
Cloud-based – no need to install; works directly in your browser.
Integrated environment – supports Python, SQL, and more in one place.
Auto-saving – your work is saved continuously.
Version history – track and restore previous notebook versions.
Easy sharing – share projects via link with permissions.
Built-in data connections – connect to databases, APIs, and files easily.
Interactive outputs – supports charts, tables, and visualizations.
Commenting system – collaborate through comments inside notebooks.
Environment management – control packages and dependencies easily
What do you dislike about the product?
Requires internet – since it’s cloud-based, you can’t use it offline.
Limited free plan – some features and resources are restricted unless you upgrade.
Performance limits – heavy computations can be slower compared to local machines
Limited free plan – some features and resources are restricted unless you upgrade.
Performance limits – heavy computations can be slower compared to local machines
What problems is the product solving and how is that benefiting you?
Deepnote is mainly solving problems in data work, coding, and team collaboration—especially for analysts, students, and developers.
Research
Streamlined, Dedicated Environment Would Elevate Cross-Language Integration
Reviewed on Jan 27, 2026
Review provided by G2
What do you like best about the product?
Deepnote's ability to have multiple people working on a single document at the same time is a must-have for data science or analytics teams. It's like a Google Docs that came to Jupyter Notebook. This makes it easy to work across teams and streamline the workflow with little friction, despite daily use. Deepnote's AI integration also means that we can focus on just writing the code and leave it up to the AI to automate the syntax hygiene and documentation.
What do you dislike about the product?
The integration across different coding languages like queuring a data frame in SQL, then using it in R, or importing in custom or proprietary functions from a corporate GitHub is either missing, difficult to implement, or clunky. In these situations, it would be great to have it more streamlined and have a more dedicated environment running in the background to mimic the UI of other cloud services, like Posit.
What problems is the product solving and how is that benefiting you?
One of the biggest challenges in any data science or analytics team is the friction that comes up when working together on code and syntax. Too often, that friction leads to a handoff style of collaboration, where people pass progress back and forth instead of working in parallel. Deepnote helps enable more real-time collaboration through comments and live viewing of the work as it’s being done.
Computer Software
Reproducible experiments and analysis with Deepnote
Reviewed on Jan 23, 2026
Review provided by G2
What do you like best about the product?
Moving to Deepnote has transformed how we collaborate and share analysis, research, and experiments at PredictAP. The integrations allow us to connect to different data sources and easily run analysis with the help of AI-generated scripts. Notebooks are easily accessible, making experiments more reproducible without the overhead of setting up developer environments.
What do you dislike about the product?
The AI agent is helpful, but I still prefer using Claude Code directly. When prompting the AI agent in Deepnote, it creates many additional cells, which makes for a jarring experience—I often have to go back and clean them up. My workflow currently consists mainly of editing scripts in Claude Code and then copying them back into Deepnote. For data analysis, however, I do find the AI agent helpful for generating quick visualization scripts.
What problems is the product solving and how is that benefiting you?
Solving the ability to reproduce data analysis and experimentation - This helps us share and build on learnings throughout the team