Compare Deepnote and Hex 
- Users report that Deepnote excels in ease of use with a score of 9.3, making it a preferred choice for those who prioritize a user-friendly interface, while Hex, with a score of 8.7, is noted to have a steeper learning curve.
- Reviewers mention that Deepnote's data ingestion and wrangling capabilities are rated at 8.6, which is higher than Hex's 8.0, indicating that users find Deepnote more efficient for preparing and managing data.
- G2 users highlight that Deepnote offers superior help guides with a score of 8.2, compared to Hex's 7.6, suggesting that users feel more supported when navigating the platform.
- Users on G2 report that Deepnote's model development features, particularly in pre-built algorithms, score 7.4, while Hex lags behind at 6.0, indicating that Deepnote provides more robust tools for users focused on machine learning.
- Reviewers mention that Deepnote's collaboration and workflow features score 8.7, which is higher than Hex's 8.4, suggesting that teams may find it easier to work together using Deepnote.
- Users say that Deepnote's deployment options, particularly managed services, are rated at 8.2, while Hex's managed service score is lower at 7.1, indicating that Deepnote may offer a more reliable deployment experience.
- Up to 3 editors
- Up to 5 projects
- Unlimited Basic machines with 5GB RAM, 2vCPU
- Up to 3 project authors
- 7-day project version history
- Project data connections & secrets
Deepnote is brilliant, I like to study from it, take notes, exercise on coding. Apparently my professors like teaching from it too, beavuse they can share with us a project, we can work on it, work on a duplicate of it. Is it a really fast way of learning.
- Very narrow screen that does not respond to bigger screens. You can only use 30% of the screen and nothing fits in it. - Slow UX. Loading projects, starting cluster,s etc. is slow - Very limited data visualization capabilities - No understanding of...
With a proliferation of BI tools, there appeared a tendency for folks to create lots of ad hoc dashboards to answer analysis questions that both lack context and immediately turn into tech debt. Having a notebook solution that can be a platform for an...
For reaserch and design I prefer local Jupyter, working on Hex is laggy in general, and on top of that has often hiccups of queing or just freezing, not to mention the fact that at some point of the project/notebook it becomes too long (with no accurate...
Deepnote is brilliant, I like to study from it, take notes, exercise on coding. Apparently my professors like teaching from it too, beavuse they can share with us a project, we can work on it, work on a duplicate of it. Is it a really fast way of learning.
With a proliferation of BI tools, there appeared a tendency for folks to create lots of ad hoc dashboards to answer analysis questions that both lack context and immediately turn into tech debt. Having a notebook solution that can be a platform for an...
- Very narrow screen that does not respond to bigger screens. You can only use 30% of the screen and nothing fits in it. - Slow UX. Loading projects, starting cluster,s etc. is slow - Very limited data visualization capabilities - No understanding of...
For reaserch and design I prefer local Jupyter, working on Hex is laggy in general, and on top of that has often hiccups of queing or just freezing, not to mention the fact that at some point of the project/notebook it becomes too long (with no accurate...
