Deepnote Reviews & Product Details

I have been using Deepnote for more than a year and I'm super satisfied with it. It's easy to connect to our data watehouse and run our first line of code. Deepnote AI makes data exploration way faster, we are power user of the App function. Several applications are used across the organisation. Notebook scheduling is also extremely useful for us with integrating Deepnote to Slack and Notion. We were able to create a fully automated reporting for our stakeholders. Review collected by and hosted on G2.com.

Althought we love the product, there are some areas where the team could make some improvements. Deppnote runs our code on their own machines, not using our AWS sources, so somethimes queries run slower than usual. I'd really like to see a canvas feature so we would be able to create customized reports (i.e. a Metric Tree). Review collected by and hosted on G2.com.

Deepnote has truly transformed the way I work with data. Its user-friendly interface is both intuitive and visually appealing, making it a joy to navigate even the most complex tasks. The platform's speed and efficiency are unmatched, allowing me to focus on insights rather than waiting for processes to complete.

One of the standout features is the sheer versatility in data connectivity options. Whether you're pulling from databases, APIs, or cloud storage, Deepnote seamlessly integrates with a wide array of data sources, providing unparalleled flexibility for any project.

Moreover, their AI and copilot functionalities are second to none. These tools not only enhance productivity but also empower users with intelligent suggestions and automation capabilities that streamline workflows and boost creativity.

In summary, Deepnote is a powerhouse for anyone looking to elevate their data analysis experience. It's a must-have tool for data professionals and enthusiasts alike. Review collected by and hosted on G2.com.

One area where Deepnote could improve is in its flexibility regarding the customization of block positioning within the app. Currently, users have limited control over arranging blocks to suit their workflow preferences. Enhancing this feature would greatly benefit users by allowing for a more personalized and efficient workspace, tailored to individual needs and project requirements. Review collected by and hosted on G2.com.

Really easy to get started and just jump in and go. Lots of database connectors.

The unlimited VMs at the Pro size (4 vcpu, 16 GB) is perfect for everyday work.

The AI integration is the best across all competitors. We tested that integration out across 6 competitors and this is by far the best. It's awareness of the entire notebook's existing codebase, results and next steps is great. Other notebook tools typically struggle with a previous cell's output and you have to be really explicit and repeat code and/or results from previous cells to work with.

The apps feature is great to share content with non-technical users. Review collected by and hosted on G2.com.

There is one competitor that works better with Snowflake by integrating directly with Snowpark by translating python code to run on-warehouse instead of on the VM. If you have large data sets, it's better to run it on the warehouse.

You can just explicitly run Snowpark code in the notebook but it's not "magic" so it doesn't just translate it for you. For me, that's fine. I'd rather run it on the VM anyways and know exactly where my code runs but I could see folks who don't want to write all that extra code. Review collected by and hosted on G2.com.

Everything is in one place: a data repository, notebooks, db-like interactions, integrations, and ai-assistance. All in the cloud! I love the tutorials and documentation as well. Review collected by and hosted on G2.com.

The auto-complete is not great yet. I'd love to see a cursor-like experience within the product Review collected by and hosted on G2.com.

It's very easy to set up, great for collaboration and inexpensive when compared to other data science tools, not to mention intuitive. I use it to call APIs and capture and send data to our BI tool, and compared to what the tool would charge us to have Python in their platform, Deep note is virtually free. Review collected by and hosted on G2.com.

Deepnote is missing integrations with Azure storage and Google Drive at the moment so that could be an issue. Review collected by and hosted on G2.com.

The cloud based infrastructure allows our data science team to get answers much more quickly and collaborate much more effectively. As a sponsor of the technology, I highly recommend it Review collected by and hosted on G2.com.

There is not much room for improvement. Speed enhancements are always welcome Review collected by and hosted on G2.com.

These talented developers have come full circle with an amazing product. I recently did a python project for root cause analysis made it into an app and presented it to my team and they loved it. This is a great product and moving between python and SQL is very handy. Review collected by and hosted on G2.com.

I don't have any negative critique about Deepnote, it does exactly what I need. Review collected by and hosted on G2.com.

Deepnote has completely transformed my workflow as a data scientist. It combines the functionality of traditional Jupyter notebooks with powerful collaborative features, making it an essential tool for any data science team. The platform is incredibly intuitive, with a clean interface and built-in support for all major data science libraries.

One of the standout features is real-time collaboration – I can work alongside my teammates just like in Google Docs, which has significantly boosted our productivity. Setting up projects is seamless, and Deepnote handles the back-end configurations, so we can focus entirely on data exploration and analysis.

The integration with various data sources, from databases to APIs, is smooth and easy to manage, saving us so much time on setup. The support team is also highly responsive and genuinely cares about user feedback, frequently rolling out updates that make the platform even better.

Whether you’re a beginner or a seasoned data professional, Deepnote will elevate your projects. Highly recommend it to anyone looking for a reliable, efficient, and collaborative data science environment! Review collected by and hosted on G2.com.

Honestly, there’s very little to dislike about Deepnote! If I had to pick something, it would be great to see even more customization options for themes and layout preferences. But even as it stands, Deepnote’s design and functionality are top-notch. Review collected by and hosted on G2.com.

Deepnote offers an incredibly intuitive platform for collaborative data analysis, making it easy to share projects and insights with team members. The real-time collaboration feature is particularly useful, allowing multiple users to work on a notebook simultaneously without issues. The integration capabilities with tools like SQL, Python, and data visualization libraries make it versatile for various data needs, from exploration to presentation. The interface is also very user-friendly, which lowers the learning curve for new users, whether they're analysts or product managers." Review collected by and hosted on G2.com.

While Deepnote excels in collaboration, there are a few areas that could be improved. The platform can occasionally be slow when handling very large datasets, which impacts productivity. Additionally, while it integrates well with many data sources, it would be beneficial to have more customization options in the data visualization aspects, as the current capabilities can feel limited for advanced visualizations. Lastly, the cost for enterprise features can be a bit steep, which might be a barrier for smaller teams. Review collected by and hosted on G2.com.

The building blocks approach are very helpful, easy way to automatize small tasks to connect databases, transform and analyze data Review collected by and hosted on G2.com.

The IA tool is not very helpful, i prefer to use chat gpt or v0 to help me Review collected by and hosted on G2.com.