Deepnote
DeepnoteReviews from AWS customer
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Great experience but there are some ways to improve it
What do you like best about the product?
It is connected to/ integreted into all of our data sources and other platforms like notion, like the notebook format, easy to organise projects.
What do you dislike about the product?
Sometime there are performance issues, some
What problems is the product solving and how is that benefiting you?
Quick to generate complex insights
Deepnote is the most convenient tool for data analytics I have ever used.
What do you like best about the product?
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.)
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
It is a notebook consisting of different cells of code, which is very useful for working with data via python and SQL. By creating additional cells you can easily control what intermidiate results you want to see in your pipeline, and what results you do not want to see. It is very important if you need to understand reasons of data loss, or reasons of mistakes made in the initial source of data. You can't use PyCharm of VS code for these purposes, or it is less convenient. Jupyter Notebook is also great for this, but another advantage of Deepnote is that integrations and e.g. contents are all easily set or already integrated in your notebook. In Jupyter Notebook there is a lot of extenstions you need to download by yourself, and it takes much more time and effort to do this.
Useful and easy to use Notebook Platform
What do you like best about the product?
1. I like that I can toggle between different compute clusters. It can be useful to use the free tier when working on developing a first pass of a model, and then switching to a paid version for final training.
2. The UI is intuitive and easy to use.
3. It has some interesting smart features. For example, if I !pip install at the top of a notebook, it will pop up with an option to automatically create a requirements.txt file which will run whenever the notebook is initialized. When I click this option, it deletes the cell with the intall and creates the requirements file.
2. The UI is intuitive and easy to use.
3. It has some interesting smart features. For example, if I !pip install at the top of a notebook, it will pop up with an option to automatically create a requirements.txt file which will run whenever the notebook is initialized. When I click this option, it deletes the cell with the intall and creates the requirements file.
What do you dislike about the product?
I like DS IDE's that have connected coding consoles so I can run arbitrary code without having to create a new cell, or without having to connect a terminal session to the correct kernel, which can be annoying. (Rstudio and JupyterLab are great examples of this in R and Python respectively).
Deepnote doesn't have this option, but I feel that it is a great value add to any data science/analytics project.
Deepnote doesn't have this option, but I feel that it is a great value add to any data science/analytics project.
What problems is the product solving and how is that benefiting you?
-Offloads compute from my local machine
-Easy to share work with peers
-Easy to share work with peers
Deepnote is great
What do you like best about the product?
It makes managing data very easy. This is our go to alongside Amplitude
What do you dislike about the product?
It has been great to use. The only thing that prevents us using it more is our own data structure.
What problems is the product solving and how is that benefiting you?
We use it to query user data
Easy visualization of complex metrics
What do you like best about the product?
We have used deepnote to provide teams with easy visualization of complex metrics. This allows everyone to act responsibly and have a better view of the situation.
What do you dislike about the product?
There is not much I dislike, other than the fact that we have found troubleshooting a bit complex in some ocasions
What problems is the product solving and how is that benefiting you?
Providing teams with clear vision of the metrics that matter the most to their jobs.
A great time saver and an incredible support!
What do you like best about the product?
I love how intuitive it is to create workflows on Deepnote. The interface is user-friendly, and I especially appreciate how seamlessly the tool integrates with other platforms. Their customer support is quick, effective, and exceptionally kind.
What do you dislike about the product?
I’ve encountered occasional issues when they released new features and affected the functionality. However, the team has always resolved these problems within a day.
What problems is the product solving and how is that benefiting you?
Deepnote is allowing us to automate our workflows without worrying about the environment.
Moreover, the AI is helping us to develop even faster, it's really useful.
Moreover, the AI is helping us to develop even faster, it's really useful.
The best tool for Data Science and data exploration?
What do you like best about the product?
The tool is both very flexible and very high quality. I tried a lot of alternatives, this is by far the best.
What do you dislike about the product?
Running notebooks on the cloud means they're slower than on my computer.
What problems is the product solving and how is that benefiting you?
Optimzing financial models, a mix of data science and machine learning.
Easy to use and a great collaboration tool for Data Science Projects
What do you like best about the product?
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.
What do you dislike about the product?
Deepnote is missing integrations with Azure storage and Google Drive at the moment so that could be an issue.
What problems is the product solving and how is that benefiting you?
It helped me capture data from APIs, clean it and send it to our BI tool. It also helped me manage and schedule governance jobs, where I could run on specific days and not worry about it. It is a great feature. In our company we use for a few data science projects as well, such as sentiment analysis on surveys, always sending it back the final output to our BI tool.
Game changer
What do you like best about the product?
Combination of languages + schedules + native integration
What do you dislike about the product?
DBT only for Snowflake, it's a shame
What problems is the product solving and how is that benefiting you?
Multi project
Multiple languages in the same environment
Multiple languages in the same environment
Smooth experience that helps to finish quick projects in record time!
What do you like best about the product?
- easy set up
- great AI helper integration
- great AI helper integration
What do you dislike about the product?
- no option to use a function from a Python file, since it only supports notebooks
- Sometimes the AI helper is suggesting a very big change to the code that doesn't work, when the actual fix is quite simple
- Sometimes the AI helper is suggesting a very big change to the code that doesn't work, when the actual fix is quite simple
What problems is the product solving and how is that benefiting you?
- quick set up of enviornment
- built-in AI helper, that already familiar with the data
- built-in AI helper, that already familiar with the data
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