Deepnote
DeepnoteReviews from AWS customer
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Solid system and easy to use
What do you like best about the product?
Great number of features needed and simplistic to use once trained on it. They also have great support when needed.
What do you dislike about the product?
Initially it's a little confusing if you're not familiar and just getting into it so takes a tiny bit of initial training.
What problems is the product solving and how is that benefiting you?
Ity's spitting out the revenue reports we need for our clients through the raw data that populates.
Great tool for wannabe Data Scientist/Engineers
What do you like best about the product?
Ease of use, UI, code generator through AI
What do you dislike about the product?
Nothing I dislike about Deepnote (yet after 3 months of use)
What problems is the product solving and how is that benefiting you?
Deepnote prove to be the best tool for doing some R&D around the Data Pipelines I have been wanting to develop for a side project/business. After I developed the code in Deepnote, I felt confident I had a good foundation for launching the project officially through outsourcing the specific bits to senior data engineers and web developers for a full scalable implementation of my app.
AI features are useful, but large notebooks runs too slow
What do you like best about the product?
The integration of SQL and python code is smooth.
What do you dislike about the product?
The notebook environment gets too slow for larger notebooks.
What problems is the product solving and how is that benefiting you?
Integration with AWS database and integrated AI feature making data exploration faster.
Collaborative notebooks with integrated AI
What do you like best about the product?
Was a Jupyter Notebook user before but found Deepnote is more convenient and easy to use. Seamless integration with different database. Great visualisation support
What do you dislike about the product?
At times it does not respond and had to reload the page
What problems is the product solving and how is that benefiting you?
Day to day insights derivation
Really nice and helpful tool!
What do you like best about the product?
Used Deepnote for a data visualization ana data preparation projects, liked real-time collaboration, intuitive interface, and the logic behind the. Slight lag with large datasets, but overall, i like it and probably gonna using this in the future. Truly nice tool! Thanks.
What do you dislike about the product?
I experienced some short term lags when working on big datasets 100k rows, but i think its ok.
What problems is the product solving and how is that benefiting you?
Collaboration with colleagues and sharing notebooks and code. I think its the main benefit
Collaborative notebooks for real!
What do you like best about the product?
This is the best interactive notebooks platform I stumbled upon. It allows for real time collaboration with shared kernel, so that people can interactively prototype new applications. I can easily build example apps without having to install anything on my laptop - good choice also for hackathons!
What do you dislike about the product?
Sometimes it can be slow or the kernel can crash, the file management system is not always intuitive (hard to find the latest notebooks that have been changed at first sight)
What problems is the product solving and how is that benefiting you?
Real time collaboration with my remote team, especially when quickly prototyping new features.
Share some code without having to think of package deployment - people can just see the same as it works for me
Share some code without having to think of package deployment - people can just see the same as it works for me
Excellent for implementing Jupyter notebook
What do you like best about the product?
its interface is easy to use, it has a very well-explained usage of everything, for example, virtual machines with their different kernels
What do you dislike about the product?
the disadvantages I have found are that there is a lack of a desktop application
What problems is the product solving and how is that benefiting you?
machine learning implementation data science
Impressed so far
What do you like best about the product?
The Ai capabilities when compared to Hex. I can write prompts to get code that is usually 75% of the way there for my relatively simple data analysis. I also like the integrated SQL/python environment and integration with bigquery
What do you dislike about the product?
I'm still getting used to the ui and finding things or how to do things. I search in the help docs and don't get results. For example, what about 2fa?
What problems is the product solving and how is that benefiting you?
I'm able to analyze the data in my bigquery project in different ways and create decent visualizations which are mostly line charts and bar charts. I do wish the built in charts had more features like trend lines and types of trend lines, etc. I'll probably just use a python library for now
great service but most of the times there is serious lag in the web interface.
What do you like best about the product?
the easyness in creating new projects using a jupiter like framework
What do you dislike about the product?
too little CPU power, it would be nice to have more ram, google collab is less laggy.
What problems is the product solving and how is that benefiting you?
Developing projects and study ML algorithms
Really great user experience
What do you like best about the product?
The user interface is very simple and easy to understand even if you are not a developer. I like the they have preinstalled phyton libraries that saves me time. And I also like the debugging tools.
What do you dislike about the product?
If I'm working with a big dataset, the performance decrease and the other inconvinience is the fact that you have to be online always.
What problems is the product solving and how is that benefiting you?
The fact that I can create analytics reports so easily, allows me to make decisions about my business quickly.The interactive dashboards serve as a presentation tool for meetings with other decision makers.
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