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    Deepnote

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    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.

    Overview

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    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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    Deployed on AWS

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    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Enterprise Plan
    10 editors + unlimited viewers
    $22,000.00

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    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Ratings and reviews

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    344 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Ірина Антонінівна .

    Deepnote is a really cool instrument.

    Reviewed on Sep 04, 2025
    Review provided by G2
    What do you like best about the product?
    AI works in tandem with the code execution environment.
    What do you dislike about the product?
    There is no such thing - I like it very much.
    What problems is the product solving and how is that benefiting you?
    I am doing number experiment now.
    I will recommend DeepNote to my students too (for laboratory works).
    재호 .

    Review of Deepnote

    Reviewed on Aug 27, 2025
    Review provided by G2
    What do you like best about the product?
    Coming from Jupyter Notebook, I found Deepnote much more convenient for research in many ways. It was my first time doing research on a fully web-based platform, and I was very impressed—it felt far superior to Colab. File management and the overall experience stood out as particularly impressive.
    What do you dislike about the product?
    When compared to Cursor, the AI features feel very underpowered. The lack of an agent-like mode makes the workflow feel significantly less convenient.
    What problems is the product solving and how is that benefiting you?
    Deepnote is helping me streamline restaurant data analysis by providing a collaborative, cloud-based environment where everything is organized and easy to access. Instead of dealing with the limitations of local Jupyter notebooks or Colab, I can manage files, run analyses, and share results much more efficiently. This makes it easier to track performance metrics, experiment with different models, and ultimately make more data-driven decisions for the business.
    David K.

    Best notebooks I've found

    Reviewed on Aug 21, 2025
    Review provided by G2
    What do you like best about the product?
    I've used several different notebooks: jupyter, databricks, colab, kubeflow. Out of everything I have tried, Deepnote gives me what I need. It is easiest for collaboration, easiest for scaling appropriately, easiest for choosing different environments and getting set up. It is just what I need, and I hope they keep improving it in these practical ways.
    What do you dislike about the product?
    It costs a bit much for the first tier past free. I am an individual, and not comfortable paying so much per month just to collaborate with a few people. It should cost about half that, to be more comfortable to individuals. I'd pay $25 per month, not $50.
    What problems is the product solving and how is that benefiting you?
    I use it for whatever I need in data science (ML, AI, network science, prototyping)
    María B.

    Deepnote Makes Data Work Simple and Organized

    Reviewed on Aug 14, 2025
    Review provided by G2
    What do you like best about the product?
    I really enjoy using Deepnote with my team. I like how I can work across different notebooks and easily control access — for example, giving certain team members the ability to see results without touching or seeing the code. The ability to copy and share a link to a specific block is incredibly useful, and the overall organization makes collaboration seamless. Even though I’m not a coding expert, Deepnote feels very intuitive and user-friendly, which makes working with data much easier.
    What do you dislike about the product?
    So far, I haven’t found anything that significantly hinders my work — it meets my needs very well. However,sometimes performance slows with very large datasets, but it’s definitely not a frequent issue for me.
    What problems is the product solving and how is that benefiting you?
    Deepnote helps me keep all the code I need organized in one place and accessible to my team. It makes it very easy to share results, collaborate, and control who can view or edit the code. This saves time, keeps our work consistent, and improves team efficiency
    Information Technology and Services

    Deepnote Makes Collaboration Effortless

    Reviewed on Aug 12, 2025
    Review provided by G2
    What do you like best about the product?
    - Multiple people can edit the same notebook at once, see each other’s cursors, and comment.
    - No local configuration nightmares - packages and environments are managed in the cloud, so you can start working immediately.
    - Built-in connectors to BigQuery, Snowflake, PostgreSQL, Google Sheets, etc., make it easy to pull data without juggling API keys and drivers.
    What do you dislike about the product?
    - Processing very large dataframes can feel slower than a well-tuned local Jupyter setup.
    - You can hit memory or runtime caps quickly if you’re doing heavy ML or large ETL work unless you upgrade to higher-tier plans.
    - Converting notebooks to .ipynb or other formats works, but sometimes you lose small bits of formatting or Deepnote-specific features.
    What problems is the product solving and how is that benefiting you?
    - Deepnote lets multiple people edit, comment, and run code together in real time, just like Google Docs, making cross-functional collaboration smooth.
    - Deepnote’s cloud environment is ready to go, with easy package management and prebuilt integrations, so onboarding new collaborators takes minutes, not hours.
    - Built-in connectors allow quick, secure access to live data without messy credential sharing.
    - Deepnote keeps a clean version history and branching system built into the UI, so you can experiment and roll back without technical overhead.
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