Deepnote Reviews & Product Details

What I really appreciate about Deepnote is how easy it makes things.

I can upload data, run analysis, and test ideas without faffing about.

It’s clean, responsive, and just does what I need it tom especially when I’m using pandas and need to backtrack a few steps.

Unlike Google Colab, Deepnote makes it really simple to roll back to earlier states of your notebook, which is a lifesaver when something goes sideways.

It’s become my go-to for lighter work when I don’t want to spin up a full environment. Review collected by and hosted on G2.com.

I wouldn’t use it for deep learning or anything too heavy, for that, I stick with VS Code.

But for focused analysis, testing ideas, or getting quick insights, it’s genuinely lovely to use.

A few more customisation options would be a nice. Review collected by and hosted on G2.com.

I'm a student and had been using Google Colab for two semesters. I was recommended Deepnote by a data science professor after repeated issues. I wish I had found it sooner, I love the table of contents directory, file importing, and smoother coding experience. I picked it up halfway through an assignment with 0 issues, it was very easy to implement. The ease of importing and exporting a file goes a really long way when you're taking a timed coding exam, I will use it regularly going forward. Review collected by and hosted on G2.com.

I found that if I was in a browser session for a longer time period it would eventually lag. This very minor issue was fixed by reopening the notebook after a few hours. Review collected by and hosted on G2.com.

Our data mining and analytics process is made easier because integration with PostgreSQL and Google BigQuery is ultra simple. No complicated configurations are required thanks to their simple integrations. We’ve been able to use Deepnote to build notebooks where we import all the data directly from Google BigQuery, make interactive visualizations and import the data. My team was able to review the data and provided me with immediate feedback after sharing the notebook with them. Review collected by and hosted on G2.com.

It has come to my attention that performance could drop when dealing with really huge data sets, which impacts the agility of analysis. Review collected by and hosted on G2.com.

I love being able to build a query, parameterize it, and sharing it with end users who are able to go in and input their desired date ranges and param values and export that to wherever they like. It was also super handy to not have to over-engineer one of our processes to push daily pageview events to a third party vendor's endpoint to track our customer usage - it was as simple as writing a query to pull PVs, having a python block to make a POST to the endpoint, and scheduling the notebook on a recurring basis. Review collected by and hosted on G2.com.

Honestly not much, the only thing I can think of is that I have to constantly authenticate MFA with the Snowflake integration, but that's mostly on us because we have other options to connect. Review collected by and hosted on G2.com.

I love that my team doesn't need to be a python expert in order to take advantage of the benefits of programming efficiencies and insights. My data science team does all of the magic of building the tools, and Deepnote allows my analysts to just point and click to get the insights they need. Could not be easier to use. Review collected by and hosted on G2.com.

You do need to understand how to use python and variables in order to get Deepnote setup, but for most programmers the learning curve is small. Review collected by and hosted on G2.com.

I really like how easy it was to access/upload new files to DeepNote and start using them, unlike Google Colab, where I had to remount it, and it used to take up space in my Google Drive.

I had the freedom to keep data files separate and organized. At the same time, we have many powerful machines available, along with Integrations. Review collected by and hosted on G2.com.

The machine has idle time for just 15 minutes, which can be challenging at times, but with the paid version, the problem is solved. Review collected by and hosted on G2.com.

As a university student who was using Deepnote while working on a team data visualization project, I loved how the interface made collaboration seamless. The real-time multi-user editing was a game-changer for us, which allowed us to easily work on different parts of the code remotely. As we were in a group, having the ability to organize our work into our structured notebooks was extremely handy, and kept all of the various components tidy. I found the commenting feature to be particularly helpful for sharing feedback throughout the project, which really helped with improving our efficiency as a team. Overall, I found Deepnote to be extremely user intuitive as a platform, and will definitely continue to use it in projects going forth. Review collected by and hosted on G2.com.

While I found almost every aspect of Deepnote to be perfect, one thing that I did experience was the lag or lengthy loading time for larger projects. Given the nature of our final-year project and the size of datasets we were working with, it sometimes took longer than expected for projects to load. It wasn’t a dealbreaker, but it did slow us down occasionally during crunch times. Review collected by and hosted on G2.com.

Previously used Jupyter Notebook and PyCharm. Would like to say that Deepnote is more convenient, you just create python or SQL cell in a matter of seconds. Making new integrations is also mostly very easy. UI is very straightforward and user-friendly, everything that is often needed in everyday work is by your hand (table schemas, timetables for your script, integrations, etc.) Review collected by and hosted on G2.com.

The only real drawback I see is that sometimes Deepnote stops working or works very slowly. It can disrupt your work, but actually I would like to say that such things happen not more than 2 times a month, moreover, in most cases it is fixed quite quickly, so I have not missed a single deadline in my daily routine. Review collected by and hosted on G2.com.

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.