Deepnote
DeepnoteReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
347 reviews
from
External reviews are not included in the AWS star rating for the product.
Excellent
What do you like best about the product?
Fixing minor mistake by itself. Suggesting keywords while writing codes.
What do you dislike about the product?
The machines stops sometimes, one time I had this project and I had to redo it again because the codes stopped working as they were working before.
What problems is the product solving and how is that benefiting you?
I am able to to finish my work faster than on Jupyter notebook through Anaconda
The 5GB CPU causes the kernel to die quickly which is causing interruption in building our project.
What do you like best about the product?
Inserting data files is quick and easy to upload.
What do you dislike about the product?
The CPU only have 5GB RAM that causes kernel to die easily if there is large data.
What problems is the product solving and how is that benefiting you?
I am working on building an ML problem and Deepnote have AI that provides real-working code!
Easy to use + collaborative
What do you like best about the product?
It gives good access to customer data and collaboration between data and commercial teams.
Easy to view in Deepnote or Create easily shareable reports for external use
Easy to view in Deepnote or Create easily shareable reports for external use
What do you dislike about the product?
Nothing I can think of so far. I have been mostly using to view and share reports rather than writing though.
What problems is the product solving and how is that benefiting you?
Access to in depth Usage Data for SaaS platform
Incrivel
What do you like best about the product?
Gostei muito da agilidade em analisar meus processos
What do you dislike about the product?
Não há nada que eu não goste, gostei muito do depnote
What problems is the product solving and how is that benefiting you?
Analise de usuários, métricas batidas
Great platform
What do you like best about the product?
I love the fact that you can select from a variety of different machine choices, whether its hardware options or different environments that can be used, and the fact that it offers GPUs is great as, well!
Personally i prefer it over alternatives such as google colab; It's hassle free and i get to run all my apps!
Great customer support, easy to use and there is ease of impementation tied in to the process thanks to their wonderful ai; I use it everytime i need to run a model or do research and it integrates well into my pipelines!
Personally i prefer it over alternatives such as google colab; It's hassle free and i get to run all my apps!
Great customer support, easy to use and there is ease of impementation tied in to the process thanks to their wonderful ai; I use it everytime i need to run a model or do research and it integrates well into my pipelines!
What do you dislike about the product?
Absolutely nothing wrong with it; Perfect!
What problems is the product solving and how is that benefiting you?
AI-ML-Data analysis
Simplifies our process and let's us collaborate in real-time
What do you like best about the product?
Easy, intuitive and very convenient to use. Our company's analytic process needs real time collaboration between our engineers, so it's really helpful.
Highly recommend this platform
Highly recommend this platform
What do you dislike about the product?
Speed with bigger data sets could be better. We would like data visualization to be more customizable.
What problems is the product solving and how is that benefiting you?
Team collaboration is really helpful.
Makes complex programming simple for large teams
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Deepnote helps us run our client's data against machine learning models to gleen insights that would normally take hours to find. It helps non-python experts be able to become more efficient in their roles and empowers them to come up with new ideas for data analysis.
That data analysis of ours is top-notch
What do you like best about the product?
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.
What do you dislike about the product?
It has come to my attention that performance could drop when dealing with really huge data sets, which impacts the agility of analysis.
What problems is the product solving and how is that benefiting you?
To facilitate better teamwork in data analysis projects, we implemented Deepnote. In the event that we needed to find trends in consumer behaviour by analysing large amounts of data. We can run complicated analyses, see the results in real time and link directly to our database through Deepnote. Faster decision making and more complete project completion was possible thanks to the links that can be shared, which allowed us to immediately share our results with all parties involved.
Great product, easy to use
What do you like best about the product?
Integrates well with existing data warehouses and easy transition between pulling data from SQL and doing analysis on python/pandas
What do you dislike about the product?
The notebooks don't remember which data warehouse the sql code comes from every time I create a new cell. Also doesn't remember the last cell's language (sql, python).
What problems is the product solving and how is that benefiting you?
Deepnote makes it easy for me to keep track of my existing queries and analytics studies. Rather than having to create a document of copy-pasted images and tables I can do it all in one deepnote notebook.
Deepnote for digital pathology
What do you like best about the product?
- Running multiple notebooks simultanously
- Cool integration of github
-I appreciate the seamless file integration system and the efficient S3 integration.
- Cool integration of github
-I appreciate the seamless file integration system and the efficient S3 integration.
What do you dislike about the product?
• There aren’t enough AI environments; it would be great to have Torch, RAPIDS, and PyTorch Lightning environments.
• The terminal should be more than just an add-on—running code for training models would be much more convenient.
• An intermediate GPU between the V100 and the K80 could be useful, especially because the Nvidia driver on the K80 doesn’t allow running the latest models.
• The terminal should be more than just an add-on—running code for training models would be much more convenient.
• An intermediate GPU between the V100 and the K80 could be useful, especially because the Nvidia driver on the K80 doesn’t allow running the latest models.
What problems is the product solving and how is that benefiting you?
- Quick development on GPU
showing 101 - 110