We Analyzed 100+ Deepnote Reviews: Here's What We've Found.

If you’ve been exploring Deepnote as your collaborative data notebook, you’ve probably hit a few critical questions:

Will it handle complex data workflows without constant glitches?

Does its real-time collaboration really work as smoothly as advertised?

Can your non-technical teammates actually contribute, or does it quickly turn into a “data scientists only” tool?

These aren’t small concerns; they'll ultimately decide whether Deepnote becomes your team’s secret weapon or just another overhyped platform.

The truth is, Deepnote brings a lot to the table: a modern interface, seamless collaboration, and built-in integrations that make working with data faster and more intuitive.

However, it also comes with trade-offs that you need to know before committing, especially if you want a tool that scales for both technical and non-technical teams.

In this blog, we’ve analyzed 100+ real Deepnote reviews to cut through the noise and give you a clear picture. You’ll discover:

• What users love most about Deepnote
  
  

• Where it falls short (especially for large-scale projects)
  
  

• How it compares to alternatives in performance, usability, and pricing

By the end, you’ll know whether Deepnote is the right fit for your workflows or if your time and budget are better spent elsewhere.

What is Deepnote?

Deepnote is a collaborative data notebook designed to make working with data simple, fast, and team-friendly.

Unlike traditional Jupyter notebooks, Deepnote focuses on real-time collaboration, making it easier for teams, both technical and non-technical, to work together on data analysis, dashboards, and reports.

It’s built for modern data teams who want clean workflows, seamless integrations, and fewer technical barriers.

Key Features of Deepnote

• Real-time Collaboration → Multiple team members can work on the same notebook simultaneously, just like Google Docs.
  
  

• Multi-language Support → Run Python, SQL, and R in one environment without switching tools.
  
  

• Built-in Integrations → Connect with popular data sources like Snowflake, BigQuery, PostgreSQL, and more.
  
  

• Clean, Modern Interface → Simple, intuitive UI designed for faster onboarding and smoother workflows.
  
  

• Version Control & Sharing → Track changes easily and share notebooks with teammates or clients in one click.
  
  

• Cloud-first Approach → No installations or setup hassles — everything runs in the browser.

Why Deepnote Is Popular: Highlights from User Reviews

After analysing 100+ user reviews, it’s clear why Deepnote has become a favourite among data teams.

People love how it simplifies collaboration, reduces setup headaches, and speeds up data workflows.

Here are the key highlights:

1. Ease of Use & Onboarding

One of the biggest reasons users like Deepnote is its clean, intuitive interface.

Unlike traditional notebooks that need heavy setup, Deepnote works directly in the browser — no installations or configurations needed.

• Beginners can start using it within minutes.
  
  

• Non-technical teammates find it easier to follow along.
  
  

• Navigation feels simple and smooth, even for first-time users.

2. Collaboration & Real-Time Editing

Deepnote is designed for teamwork.

Multiple people can work on the same notebook at the same time, similar to Google Docs for data.

• Real-time editing means fewer version conflicts.
  
  

• Built-in commenting makes sharing feedback easier.
  
  

• Teams communicate better and solve problems faster.

3. Integrations & Workflow Efficiency

Another reason Deepnote stands out is its wide range of integrations with tools like Snowflake, BigQuery, PostgreSQL, and Redshift.

• You can write queries, analyse data, and build dashboards in one place.
  
  

• No need to switch between multiple tools or copy-paste results.
  
  

• This saves time and keeps workflows smooth and efficient.

4. AI Assistance & Productivity

Deepnote has started adding AI-powered features, and users are noticing the impact:

• Smart code suggestions make writing scripts faster.
  
  

• Automated insights help you quickly understand complex data.
  
  

• Less manual work means teams can focus more on decision-making than debugging.

What Users Wish Were Better: Common Complaints

While Deepnote earns a lot of praise, not everything is perfect.

After analysing 100+ user reviews, we found some common complaints and areas where users want improvements:

1. Performance & Load Times

Several users reported that Deepnote can slow down with large datasets or heavy notebooks.

• Long load times when working on complex projects.
  
  

• Occasional lag during real-time collaboration.
  
  

• Performance issues become more noticeable as teams and files grow.

2. Bugs & Stability Issues

A few reviewers mentioned random glitches and unexpected errors:

• Occasional crashes while running big computations.
  
  

• Some features don’t always work consistently.
  
  

• Minor bugs during integrations with certain databases.

3. Limited Features & Workflow Flexibility

While Deepnote is powerful, users felt some advanced features are missing compared to other data tools:

• Limited customisation for dashboards and visualisations.
  
  

• Fewer automation options for repetitive workflows.
  
  

• Some teams wished for better version control and offline support.

4. Organisation & Navigation Challenges

Users also pointed out the difficulty in managing multiple projects:

• Finding old notebooks can feel tricky as projects grow.
  
  

• Lack of advanced folder structures for better organisation.
  
  

• New users sometimes struggle to locate shared resources quickly.

Deepnote Pricing

We looked into Deepnote’s pricing to understand what readers get—and what to expect as their needs evolve.

Here's a simple breakdown:

Free Plan

• Ideal for individuals and hobbyists.
  
  

• Includes up to 3 editors, five projects, and unlimited use of Basic machines (5 GB RAM, two vCPU).
  
  

• Offers 7-day revision history.

Team Plan

• Designed for small to medium-sized teams.
  
  

• Priced around $39 per editor per month.
  
  

• Includes AI-powered code completion, priority integrations (e.g., Snowflake, BigQuery), access to Plus machines (16 GB RAM, four vCPU), and longer revision history.

Enterprise Plan

• Built for larger organisations with advanced needs.
  
  

• Offers perks like SSO & directory sync, audit logs, unlimited revision history, volume discounts, and custom contracts.
  
  

• Includes optional enhancements like HIPAA compliance, static IPs, and private deployments. Pricing is customised based on requirements.

Deepnote Table Strengths and Weaknesses

Upsolve.ai: A Smarter Alternative

If you’re exploring Deepnote for data collaboration and embedded analytics, it’s worth considering Upsolve.ai as a smarter, simpler alternative.

Unlike notebook-heavy tools, Upsolve.ai focuses on speed, simplicity, and seamless integration without the technical overhead.

What is Upsolve.ai?

Upsolve.ai is a modern embedded analytics platform built for startups, SaaS companies, and data-driven teams.

It helps you turn raw data into interactive dashboards that can be easily embedded into your app or shared with clients without writing a single line of code.

Key Features of Upsolve.ai

• Code-Free Setup → Build dashboards, reports, and insights without technical complexity.
  
  

• Real-Time Analytics → Automatic, live data updates without manual refreshes.
  
  

• Seamless Embedding → Easily integrate dashboards into your app, portal, or client-facing tools.
  
  

• Smart Integrations → Connects directly to your data sources, including SQL databases, warehouses, and APIs.
  
  

• Role-Based Access Control → Manage permissions and secure data sharing effortlessly.

Why Upsolve.ai Excels vs. Deepnote

1. Simplicity & No Technical Overhead

Unlike Deepnote’s notebook-based setup, Upsolve.ai’s interface is code-free and intuitive, making it accessible for non-technical users and business teams.

2. Speed & Real-Time Delivery

Upsolve.ai is built for live dashboards and fast performance.

There’s no lag, no heavy notebook loading, and no waiting for results.

3. Integration Without Complexity

While Deepnote focuses on notebooks, Upsolve.ai lets you embed dashboards directly into your product or client portal, saving time and keeping workflows simple.

4. Cost-Effective Option

Upsolve.ai’s pricing is designed to be affordable for small-to-mid-sized businesses, making it a budget-friendly alternative to Deepnote’s potentially higher costs.

Conclusion

Deepnote is a powerful tool for data scientists and technical teams who prefer working in notebook-based workflows.

It shines when teams need real-time collaboration, SQL + Python integration, and a flexible environment for exploratory analysis.

However, if your business teams, product managers, or client-facing roles need fast, code-free dashboards and seamless embedding, Upsolve.ai provides a smarter, simpler, and more cost-effective solution.

Ready to simplify your analytics?

Try Upsolve.ai today and build dashboards your clients will love without writing a single line of code.”

FAQs

1. What types of users and organisations use Deepnote?

Deepnote is mostly used by data scientists, analysts, engineers, and data-driven organisations that prefer notebook-style workflows.

Startups, SaaS companies, and academic teams also use it for collaborative data analysis.

2. What integrations does Deepnote offer?

Deepnote integrates with many popular tools and databases, including:

• SQL Databases: Snowflake, BigQuery, PostgreSQL, Redshift, MySQL
  
  

• Version Control: GitHub integration for seamless collaboration
  
  

• Cloud Storage: AWS S3, Google Drive
  
  

• Visualisation Tools: Native charts and third-party visualisation libraries

3. What pricing plans are available for Deepnote?

Deepnote offers three main pricing plans:

• Free Plan → Best for individuals and small projects
  
  

• Team Plan → Around $39/editor/month with AI-powered features and priority integrations
  
  

• Enterprise Plan → Custom pricing with advanced security, compliance, and private deployment options

4. Does Deepnote provide mobile app support?

Currently, Deepnote does not offer a dedicated mobile app.

However, you can access your notebooks via a mobile browser.

The experience is better optimised for desktop use.

5. What support options are available for Deepnote users?

Deepnote offers:

• Help Centre & Documentation → Self-service guides and tutorials
  
  

• Community Support → Forums and Slack channels for peer discussions
  
  

• Email Support → Available for all plans
  
  

• Priority Support → Included in Team and Enterprise plans for faster issue resolution.