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.
Exceptional data workspace
What do you like best about the product?
- Deepnote AI's code completion is exceptional
- Makes collaboration between data teams much easier
- Data apps and scheduled runs create many more opportunities for automation
- Makes collaboration between data teams much easier
- Data apps and scheduled runs create many more opportunities for automation
What do you dislike about the product?
- I love the direction of the data apps but would like more ways for users to provide inputs
What problems is the product solving and how is that benefiting you?
- Collaboration across data teams
Deepnote Closes The Knowledge Gap
What do you like best about the product?
It was so helpful to use Deepnote to further my projects that would've been limited if I didn't have access to Deepnote due to the lack of data science skills or knowledge. It is so easy to use and is keeping up with the times of AI.
What do you dislike about the product?
It is like any AI machine where sometimes you must work with it, sometimes repeating yourself or having to redo the prompt because you didn't include EVERYTHING you needed in your prompt.
What problems is the product solving and how is that benefiting you?
It solves how I am able to complete my projects and what projects I take on since sometimes the projects require more knowledge than I have.
Very neat and useful notebook with seamless SQL and Python and AI tools integration
What do you like best about the product?
Friendly UI, with with seamless SQL and Python and AI tools integration, along with dataviz
AI autocomplete
Markdown structure
AI autocomplete
Markdown structure
What do you dislike about the product?
I wish I could add more group by levels in some graphs
Sometimes I am not able to place labels on top of my data points
I wish I could drag and drop blocks with more ease, and also do that using the table of contents
Sometimes I am not able to place labels on top of my data points
I wish I could drag and drop blocks with more ease, and also do that using the table of contents
What problems is the product solving and how is that benefiting you?
It helps me make sense from everything in our datawarehouse and allows me to create great data reports (easy to read, profound, and with a customizable level of transparency) that I can share with all relevant stakeholders.
Deepnote is a fantastic tool with a great free tier and reasonable paid tiers
What do you like best about the product?
Really easy to get started and just jump in and go. Lots of database connectors.
The unlimited VMs at the Pro size (4 vcpu, 16 GB) is perfect for everyday work.
The AI integration is the best across all competitors. We tested that integration out across 6 competitors and this is by far the best. It's awareness of the entire notebook's existing codebase, results and next steps is great. Other notebook tools typically struggle with a previous cell's output and you have to be really explicit and repeat code and/or results from previous cells to work with.
The apps feature is great to share content with non-technical users.
The unlimited VMs at the Pro size (4 vcpu, 16 GB) is perfect for everyday work.
The AI integration is the best across all competitors. We tested that integration out across 6 competitors and this is by far the best. It's awareness of the entire notebook's existing codebase, results and next steps is great. Other notebook tools typically struggle with a previous cell's output and you have to be really explicit and repeat code and/or results from previous cells to work with.
The apps feature is great to share content with non-technical users.
What do you dislike about the product?
There is one competitor that works better with Snowflake by integrating directly with Snowpark by translating python code to run on-warehouse instead of on the VM. If you have large data sets, it's better to run it on the warehouse.
You can just explicitly run Snowpark code in the notebook but it's not "magic" so it doesn't just translate it for you. For me, that's fine. I'd rather run it on the VM anyways and know exactly where my code runs but I could see folks who don't want to write all that extra code.
You can just explicitly run Snowpark code in the notebook but it's not "magic" so it doesn't just translate it for you. For me, that's fine. I'd rather run it on the VM anyways and know exactly where my code runs but I could see folks who don't want to write all that extra code.
What problems is the product solving and how is that benefiting you?
Data analysis. Data science and machine learning around large data sets. Reporting interface for data in the database before building it out in the application layer.
Nice and Simple for Entry-Level Roles
What do you like best about the product?
Deepnote is easy to use and learn. Lots of customizable features and uses. As an entry-level employee— it's been an extremely helpful tool, as well as one that has been easy to adjust to and customize.l
What do you dislike about the product?
No big downsides so far. It is relatively easy to use. Looking forward to continue exploring it.
What problems is the product solving and how is that benefiting you?
Deepnote assists in tracking campaigns and performance. I particualrly enjoy the ability to create shareable dashboards. Python projects are also very easy to run and manage.
Best notebook used so far
What do you like best about the product?
- the handy concept of a SQL+Python notebook.
- the collaboration is very smooth
- the viz module directly from the data
- the autocompletion and the debugger, backed by AI
- Notion integration
- the collaboration is very smooth
- the viz module directly from the data
- the autocompletion and the debugger, backed by AI
- Notion integration
What do you dislike about the product?
- The app concept, which the exported notebook with interactivity (filters etc) is a bit complex, we often struggle to have our non-tech stakeholders to use it as they just use it for that and it's used often.
What problems is the product solving and how is that benefiting you?
It help exploring the data in a much quicker, cleaner and collaborative way
Best jupyter notebook solution
What do you like best about the product?
the IA, is most capable so non tech persons automates apis, etls, flows in their own.
What do you dislike about the product?
They have changed their policiy about auto shutting down vm, now is too short. I suppose depends on the service tier.
What problems is the product solving and how is that benefiting you?
Colaborative place with very good AI
One of new AI tools I use daily
What do you like best about the product?
I’ve been using Deepnote regularly, and it’s made a significant difference in how I handle my daily tasks. The platform is user-friendly, so working with data feels intuitive even if you’re not highly technical. I appreciate that they’re constantly updating the tool, which means it keeps getting better and stays relevant to my needs.
Collaborating with my team has become much smoother thanks to Deepnote’s clear and straightforward tools. Sharing notebooks and working together in real-time has improved our efficiency and the quality of our projects.
Integrating with BigQuery was surprisingly easy. Managing the integration credentials didn’t require much effort, which saved me time and avoided the usual hassle of connecting different services.
The AI-assisted code generation is a feature I’ve found particularly useful. It speeds up my coding process and makes it easier for team members who might not have a strong technical background to contribute.
Overall, Deepnote has become an essential part of my workflow. It’s helped make my work more streamlined and productive, and I highly recommend it to others looking to enhance their data analysis and team collaboration.
Very good and simpel user based pricing model that allows us to share some notebooks/projects to users for free as well which is very imporant for us.
Collaborating with my team has become much smoother thanks to Deepnote’s clear and straightforward tools. Sharing notebooks and working together in real-time has improved our efficiency and the quality of our projects.
Integrating with BigQuery was surprisingly easy. Managing the integration credentials didn’t require much effort, which saved me time and avoided the usual hassle of connecting different services.
The AI-assisted code generation is a feature I’ve found particularly useful. It speeds up my coding process and makes it easier for team members who might not have a strong technical background to contribute.
Overall, Deepnote has become an essential part of my workflow. It’s helped make my work more streamlined and productive, and I highly recommend it to others looking to enhance their data analysis and team collaboration.
Very good and simpel user based pricing model that allows us to share some notebooks/projects to users for free as well which is very imporant for us.
What do you dislike about the product?
As a relatively new tool Deepnote has some shortcomings and not-so-ready features. File management and Git integration are some examples. There have been some improvements in these areas though.
What problems is the product solving and how is that benefiting you?
Easy access for our data warehouse and services.
Easy prototyping -- with the team.
Ability to easily make simple data apps and share access to our team.
Easy prototyping -- with the team.
Ability to easily make simple data apps and share access to our team.
Great data environment for teams and a level-up from Jupyter notebooks
What do you like best about the product?
Easy to use for team members new to notebooks
What do you dislike about the product?
Would love to see greater support for historical notebook runs to save itteration and cold-boot time
What problems is the product solving and how is that benefiting you?
Easy to integrate with multiple data sources and to collaborate across the team on shared notebooks, whereas this would be dispirate across team members for Jupyter notebooks.
Very user-friendly & intuitive cloud platform - great for collab
What do you like best about the product?
What I love most about Deepnote is how easy it is to collaborate with my team in real-time—it really streamlines the whole process and boosts our productivity. The interface is super intuitive, so even if you're not a coding expert, you can still get up to speed quickly. Another big plus is how well it connects with different data sources, making it simple to set up data analysis workflows. Because it's cloud-based, I don’t have to deal with complicated local installs, which is a huge time-saver. I also find the AI tools really handy for code suggestions and debugging, making it quicker to write and fix code.
What do you dislike about the product?
Nothing much,
Could perhaps do with some additional viz capabilities to analyse your data but not a big deal
Could perhaps do with some additional viz capabilities to analyse your data but not a big deal
What problems is the product solving and how is that benefiting you?
We use Deepnote mainly for AI-enrichment of our GTM data, along with data cleansing and modeling. It's been a helpful tool in our workflow, making it easier to clean up data and add valuable insights before analysis. I like how we can build and tweak models directly in Deepnote, which helps keep our data processes smooth and efficient.
showing 221 - 230