Deepnote
DeepnoteReviews from AWS customer
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Collaboration tool for data science teams or personal projects
What do you like best about the product?
- Good for creating quick POC or testing something up
- Easy to share a demo/notebook within the DS team. Good for collaboration
- Easy integration with different data sources.
- most of the important features are in one screen, easy to navigate, easy to use
- Easy to share a demo/notebook within the DS team. Good for collaboration
- Easy integration with different data sources.
- most of the important features are in one screen, easy to navigate, easy to use
What do you dislike about the product?
- Machine is easily turned off with the default setting
- with the restart, you need to build everything from the beginning which takes quite some time.
- We only use for explorative purposes so that we don't use them too frequently.
- with the restart, you need to build everything from the beginning which takes quite some time.
- We only use for explorative purposes so that we don't use them too frequently.
What problems is the product solving and how is that benefiting you?
making the proces of quick data science exploratory easier and quicker.
good professional tool
What do you like best about the product?
the option to schedule tasks on daily/weekly basis
What do you dislike about the product?
maybe the cost or the subscription plans will be better if there are more options available
What problems is the product solving and how is that benefiting you?
the scheduling of the tasks is very helpful especially for automation engineer roles
Deepnote is easy to use at the viewer level and has all the data necessary to gauge performance.
What do you like best about the product?
Breakouts we are able to see (YoY vs, DoD, etc)
What do you dislike about the product?
N/A I just use to view and look at reporting our analytics team builds out.
What problems is the product solving and how is that benefiting you?
We are able to track email and sms opt ins on a daily, weekly, yearly basis
Amazing collaborative tool for data projects!
What do you like best about the product?
It allows us to collaborate in real-time with team members, has a great user-friendly interface, and connects with a wide range of data sources, making it all more convenient! It's also inexpensive when compared with other data science tools.
What do you dislike about the product?
Working with large datasets can be slow, and I wish there were more customizable options to visualize data, but the current options are still great.
What problems is the product solving and how is that benefiting you?
It is so much easier to collaborate in real time with the team while integrating with a variety of data sources such as GitHub, SQL, and Google Drive. We can also easily share notebooks with others to review our work and for anyone else to extend the work using the existing notebooks.
Great notebook solution for our team
What do you like best about the product?
We are able to run analyses and build simple apps quickly, as a team. It is easy to connected to our data.
What do you dislike about the product?
Nothing specific comes to mind. It does not have many advanced features such as supporting IPyWidgets. Initialization can be a bit slow.
What problems is the product solving and how is that benefiting you?
Connected notebooks, instead of local work
Good for collaboration.
What do you like best about the product?
It is great for using a notebook simultaneously with other team members. It has many great features for customization and the AI is solid.
What do you dislike about the product?
Occasionally slow to load notebooks. There's a latency and responsiveness issue that might be inherent with web apps, which has been frustrating. Sometimes I wish there were more choices of machines I could use that have better rates. Not sure if it's a browser issue, but I had issues logging in for the longest time. It would take me to a landing page every time I wanted to log in with a different email, so I couldn't even figure out how to log in and needed to use a different computer or browser, or pull up an old email.
What problems is the product solving and how is that benefiting you?
It helps with collaboration. It's nice to be able to work on a project with someone else.
Feedback of deepnote
What do you like best about the product?
The convenience: the AI auto completing is usually very helpful.
What do you dislike about the product?
Cost: this is way more expensive then the GPU instances you can purchase on AWS.
What problems is the product solving and how is that benefiting you?
Quick analysis on conversion rate.
Good for building quick visualizations or small apps
What do you like best about the product?
Mostly time to market. We use deepnote for internal data analysis. It's very easy for the data scientist to publish a notebook and also for non-technichal people at the company to use. We always start with a deepnote app before moving to a production model or dashboard.
What do you dislike about the product?
I think it could be less "cody", with a mode made for non technichal staff. Perhaps this exists and we are just not using it.
What problems is the product solving and how is that benefiting you?
If we have an idea that we want to test, such as running a cashback campaign for VIP users, we can quickly make a small deepnote app and start testing the idea without worrying about the infra. If it's successfull, we then move it to something more automated and robust.
Deepnote allows us to prototype quickly
Deepnote allows us to prototype quickly
Great tool
What do you like best about the product?
Its easy to create meaningful and useful graphs. It integrates well with loads of services too
What do you dislike about the product?
The downside is it's another tool, but with rapid development the pros outweigh the cons
What problems is the product solving and how is that benefiting you?
Enables us to quickly visualise our data and analyse trends we couldnt o.w.
Easiest way to custom queries with app
What do you like best about the product?
Deepnote can easily change params in Big Query integrations with variables inputed by user, with a simple app interface, which is ease of implementation. Futhermore, the app allows you to create simple visualization for users with limited data permissions.
What do you dislike about the product?
One thing that i dislike about Deepnote is the lack of a button to run blocks after some chunk of blocks.
What problems is the product solving and how is that benefiting you?
Some plots and data frame modifications are easily mae with python, instead of SQL
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