Deepnote
DeepnoteReviews from AWS customer
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Deepnote helped us turn raw data into real-time insights and smarter operations
What do you like best about the product?
Deepnote makes pulling and exploring data so much easier. We can quickly connect to databases and get straight into analysis, which has really improved our visibility into performance and helped speed up decision-making. It’s also incredibly flexible — we’ve been able to build models that help ensure operational quality and adapt them as our needs evolve. Plus, the real-time collaboration, SQL/Python support, and zero setup make it perfect for remote teams.
What do you dislike about the product?
The main issue is the loading time when working with larger datasets or multiple data sources — it can be a bit slow to initialize. Also, since it’s fully cloud-based, it doesn’t work well in low-connectivity situations, and offline access would be a helpful addition.
What problems is the product solving and how is that benefiting you?
We use Deepnote to centralize and streamline our analytics workflow. It’s helped us move faster from data to insights, improve transparency across teams, and build custom models that support quality control in operations. Overall, it’s made our data work more efficient and collaborative.
Efficient analysis tool
What do you like best about the product?
The ability to export analyses from the app mode: once they are edited, you just have to press a button to launch them and retrieve the information you want. When you have no knowledge of coding, it's ideal.
What do you dislike about the product?
To my knowledge, no drawbacks, I use it to extract data, our data analyst has programmed everything in advance.
What problems is the product solving and how is that benefiting you?
Quick analyses of our sales, our customer databases, and purchase predictions.
Great Review for DeepNote
What do you like best about the product?
I've been using Deepnote for my Python projects, and it's been an absolute game-changer. The interface is clean, intuitive, and incredibly well-suited for both solo work and team collaboration. I especially love the real-time collaboration features—feels like Google Docs for data science. It also integrates smoothly with popular tools like GitHub and BigQuery, which saves me a lot of time. The fact that I can run Jupyter-style notebooks in the cloud without setting up a local environment is a huge plus. Highly recommend it for anyone working on data science, analytics, or machine learning workflows.
What do you dislike about the product?
sometimes a little slow but its a good feature to work with.
What problems is the product solving and how is that benefiting you?
Deepnote is solving the problem of fragmented, non-collaborative data science workflows. Traditional Jupyter notebooks lack real-time collaboration, version control, and seamless integrations, which often slows down project development—especially when working in teams. Deepnote fixes that by offering a cloud-based, collaborative environment where I can work with others in real time, similar to how Google Docs works for documents.
This has massively benefited me by increasing productivity, reducing setup time, and allowing smoother handoffs and code reviews. I no longer have to worry about syncing notebooks manually or running into environment conflicts. It also helps me stay focused on the actual problem-solving and analysis rather than on infrastructure issues.
This has massively benefited me by increasing productivity, reducing setup time, and allowing smoother handoffs and code reviews. I no longer have to worry about syncing notebooks manually or running into environment conflicts. It also helps me stay focused on the actual problem-solving and analysis rather than on infrastructure issues.
Big fan of the usability and features. Small number of bugs that I would like to see fixed
What do you like best about the product?
I like Deepnote because it's a lot simpler to use than other notebooks I've tried. It integrates really easily with tools like Redshift and S3, which makes connecting to data super straightforward.
The AI assistant is surprisingly good at fixing errors in my code, which saves me time when something breaks.
I also find it really useful that I can search our data warehouse directly for fields or tables - it makes digging into data way faster.
One of my favourite features is being able to search for code snippets. This is especially handy when I’m not sure which script is publishing a data source I’m using in Tableau. Instead of guessing and opening a bunch of files, I can just search and find the right one quickly.
Customer support tends to be quick to repsond based one my one interaction with them.
The AI assistant is surprisingly good at fixing errors in my code, which saves me time when something breaks.
I also find it really useful that I can search our data warehouse directly for fields or tables - it makes digging into data way faster.
One of my favourite features is being able to search for code snippets. This is especially handy when I’m not sure which script is publishing a data source I’m using in Tableau. Instead of guessing and opening a bunch of files, I can just search and find the right one quickly.
Customer support tends to be quick to repsond based one my one interaction with them.
What do you dislike about the product?
Sometimes scripts fail when I’m copying data to Redshift - could be a Redshift issue, but it’s still frustrating when it happens.
I’ve also noticed that if I’m working on a script for a few hours, Deepnote can get really slow. Restarting doesn’t seem to fix it, so I usually just have to wait until the next day to carry on.
Another small issue is how the script jumps around when I first open it and try to scroll quickly - it makes it hard to get where I want to go without it lagging or skipping.
I’ve also noticed that if I’m working on a script for a few hours, Deepnote can get really slow. Restarting doesn’t seem to fix it, so I usually just have to wait until the next day to carry on.
Another small issue is how the script jumps around when I first open it and try to scroll quickly - it makes it hard to get where I want to go without it lagging or skipping.
What problems is the product solving and how is that benefiting you?
It allows me to create scripts which extract, clean and transform my data from our data warehouse in redshift to turn it into a useable data source to be used in Tableau for our end users.
I also find it useful for searching our data sources quickly, or perform quick EDA to better understand the data. This would not be possible without using a notebook, and Deepnote makes the process much easier.
AI Chat has been useful to document my scripts.
I also find it useful for searching our data sources quickly, or perform quick EDA to better understand the data. This would not be possible without using a notebook, and Deepnote makes the process much easier.
AI Chat has been useful to document my scripts.
Quick way to incentivate a no-tech team to start to code
What do you like best about the product?
The building blocks approach are very helpful, easy way to automatize small tasks to connect databases, transform and analyze data
What do you dislike about the product?
The IA tool is not very helpful, i prefer to use chat gpt or v0 to help me
What problems is the product solving and how is that benefiting you?
ETL for marketing: offline conversion tracking uploaded back to ads platforms. Lead scoring
DeepNote makes writing code very easy and has a lot of very cool bult-in tools
What do you like best about the product?
I really like how tables are displayed, the fact that you can select and order rows directly on the table. The AI tool to fix bugs is very useful as well.
What do you dislike about the product?
The autocomplete sometimes is quite annoying.
What problems is the product solving and how is that benefiting you?
I use it in place of writing code on a local notebook. It's extremely useful that you can share code with other people through the same platform.
The built-in tools make debugging very easy.
And finally I love the integrations, we can access our cloud, google excel and so on and it's very easy to set up and makes it safer than using a local notebook as there is no copy/pasting of credentials.
The built-in tools make debugging very easy.
And finally I love the integrations, we can access our cloud, google excel and so on and it's very easy to set up and makes it safer than using a local notebook as there is no copy/pasting of credentials.
Deepnote is a game changer
What do you like best about the product?
Everything is in one place: a data repository, notebooks, db-like interactions, integrations, and ai-assistance. All in the cloud! I love the tutorials and documentation as well.
What do you dislike about the product?
The auto-complete is not great yet. I'd love to see a cursor-like experience within the product
What problems is the product solving and how is that benefiting you?
I'm a Data Analyst in my day job, but have recently gotten into the freelance game. I love that I have a product that I can run all my projects through and easily control permissions as well. It's perfect for someone who works on multiple things, different projects and clients, etc.
Very Nice Product
What do you like best about the product?
Easy to use funcationality of deepnote took my heart.
What do you dislike about the product?
nothing as such. but there is always scope of improvement
What problems is the product solving and how is that benefiting you?
Deepnote is solving several key problems related to collaborative data science, reproducibility, and workflow efficiency. Here’s a breakdown of the problems it addresses and how that benefits users:
Problems Deepnote Solves
Lack of Real-Time Collaboration in Notebooks
Traditional Jupyter notebooks don’t support true real-time multi-user collaboration (like Google Docs).
Deepnote allows multiple users to edit, comment, and interact with the same notebook simultaneously.
Difficulty Managing Environments and Dependencies
Setting up and maintaining Python environments and dependencies is often a pain, especially for new users or across teams.
Deepnote provides pre-configured environments and makes it easy to install packages without Docker or local setup headaches.
Problems Deepnote Solves
Lack of Real-Time Collaboration in Notebooks
Traditional Jupyter notebooks don’t support true real-time multi-user collaboration (like Google Docs).
Deepnote allows multiple users to edit, comment, and interact with the same notebook simultaneously.
Difficulty Managing Environments and Dependencies
Setting up and maintaining Python environments and dependencies is often a pain, especially for new users or across teams.
Deepnote provides pre-configured environments and makes it easy to install packages without Docker or local setup headaches.
Great Tool for Analytics
What do you like best about the product?
It's the one stop for different tools like BI, Coding and Dashboards
What do you dislike about the product?
The integrations can be possibly better.
What problems is the product solving and how is that benefiting you?
One solution for many tools and it'a providing machines at cheaper costs.
Good all-around tool for data analysi
What do you like best about the product?
The AI integration, everything just works, switching between languages
What do you dislike about the product?
The collaboration can sometimes be a bit laggy, and the notebook can jump up and down which is a mild annoyance
What problems is the product solving and how is that benefiting you?
Highly customizable analytics and visualizations, deep dive analysis
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