Deepnote and Mode are both powerful data platforms but cater to different needs. Deepnote excels in collaborative data science with its strong Python integration and AI assistance. Mode shines in business intelligence with its focus on self-service analytics and dashboarding. Choose Deepnote for advanced analytics and collaboration, while Mode is preferable for broader business user accessibility and reporting.
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Deepnote is a web-based platform designed for teams working with data. It allows you to analyze information, create reports, and build applications all in one collaborative space. Deepnote integrates with existing data sources and offers tools for coding (with Python, SQL, or R) as well as no-code options for simpler tasks. Deepnote also focuses on secure data practices and compliance with industry standards.
Mode is a cloud-based business intelligence platform designed for data teams and business users in companies of all sizes. It allows data professionals to analyze data using languages like SQL, Python, and R, and to build interactive dashboards and reports. Mode aims to be a central hub for all data analysis, enabling collaboration and self-service access to insights for everyone in the organization. Mode integrates with a company's existing data infrastructure.
Summary
Main difference
Deepnote is a collaborative data science notebook platform ideal for technical users leveraging Python, R, and SQL, along with no-code options for simpler tasks. Mode, conversely, focuses on business intelligence and self-service analytics, catering to both technical and non-technical users with its SQL editor, Python integration, and interactive dashboards.
Relative strengths of Deepnote (compared to Mode)
Superior Python integration with extensive libraries and environment control, better suited for complex data science tasks.
Real-time collaboration features like live co-editing and shared workspaces enhance teamwork and knowledge sharing.
AI-powered assistance within the workspace helps automate coding tasks, generate insights, and accelerates data exploration.
Relative weaknesses of Deepnote (compared to Mode)
Limited data visualization capabilities compared to Mode, potentially requiring other tools for polished dashboards and reporting.
Pricing can be higher for larger teams, especially with per-editor costs in comparison to Mode's role-based pricing.
Less focus on no-code functionalities and business-oriented features like self-service reporting, making Mode a better choice for less technical business users.
Deepnote is a collaborative data science platform ideal for data-driven teams in medium to large businesses. Users praise its intuitive interface, seamless integrations, and real-time collaboration features, simplifying coding and streamlining workflows. While some users note occasional performance issues with larger notebooks and limited free tier resources, Deepnote remains a powerful tool for data professionals seeking enhanced teamwork and efficient data analysis. It offers flexible pricing plans, including a free option and a 14-day trial.
Mode is a collaborative business intelligence platform ideal for data teams and business users in medium to large enterprises. Users praise Mode's SQL editing, Python integration, and easy sharing features. However, some find the visualization options limited and the interface clunky. Best suited for finance, IT, and marketing sectors.
Ideal for medium to large businesses (100+ employees) seeking enhanced data collaboration.
Suitable for data-driven teams across various industries, enhancing data collaboration and analysis.
Ideal for medium to large companies (100+ employees).
Best fit for Finance, IT, Marketing, and related sectors.
Deepnote and Mode features
Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need
Ad Hoc Analysis
10
sources
Supported
Deepnote supports ad hoc analysis by enabling data exploration and custom queries.
Supported
Mode supports ad hoc analysis, allowing custom queries and data exploration.
AI-powered data workspace
10
sources
Supported
Deepnote offers AI-powered assistance for data analysis within its workspace.
Not supported
Mode does not offer AI assistance within its data workspace.
Multiple language support and no-code option
10
sources
Supported
Deepnote supports Python and other languages via integrations. It also has a no-code data analysis option.
Unknown
Mode's support for multiple languages or no-code options is not confirmed.
Interactive dashboards
10
sources
Supported
Deepnote allows creating interactive dashboards and apps with filtering capabilities.
Supported
Mode supports interactive dashboards, including drilling down and data exploration.
Interactive charts and graphs
10
sources
Supported
Deepnote supports interactive charts, tooltips, and basic filtering via input blocks.
Supported
Mode supports interactive charts, filters, and drill-downs in dashboards.
Data visualization
10
sources
Supported
Deepnote offers diverse, interactive data visualization tools, including no-code charting and AI-powered chart generation.
Supported
Mode supports creating interactive charts and dashboards.
Browse all features
Qualities
Value and Pricing Transparency
+0
Neutral sentiment
No data
Customer Service
+1
Strongly positive sentiment
No data
Ease of Use
+0.97
Strongly positive sentiment
No data
Reliability and Performance
-0.04
Neutral sentiment
No data
Ease of Implementation
+0.96
Strongly positive sentiment
No data
Scalability
+0.79
Strongly positive sentiment
No data
Deepnote and Mode Pricing
Deepnote offers a free plan and a 14-day free trial for the Team plan. The pricing model is per editor/month billed yearly.
Plans
FreeFree
A free version for aspiring data analysts and scientists. Includes up to 3 editors, 5 projects, AI-powered code completion, unlimited Basic machines with 5 GB RAM and 2 vCPU, and 7-day revision history.
$9 per editor/monthPro
For professionals who work by themselves. Includes everything in the Free plan plus unlimited Deepnote AI, background execution, scheduled notebooks, more powerful machines, $65 worth of CPU and GPU every month, and discounted additional compute.
$39 per editor/monthTeam
For data teams needing a powerful platform for seamless collaboration. Includes everything in the Pro plan plus unlimited viewers and notebooks, premium integrations, 30-day revision history, $280 worth of CPU and $65 worth of GPU every month, and discounted additional compute.
CustomEnterprise
For organizations with greater machine and security needs. Includes everything in the Team plan plus custom contract and invoice, priority support, dedicated success manager, permission groups, SSO and directory sync, private docker images, audit logs, federated authentication, single-tenancy, and volume machine discounts.
Real-time collaboration features enhance teamwork.
Intuitive interface and easy setup simplify the coding process.
Seamless integrations with various data sources and tools streamline workflows.
Convenient publishing and sharing options facilitate presentations and collaboration.
Built-in version control and code review tools improve productivity.
Mode is easy to use, especially for those familiar with SQL.
The platform provides robust SQL editing capabilities with features like auto-complete and syntax highlighting.
The integration with Python notebooks is very powerful and allows for more advanced analysis.
Reports and dashboards can be easily shared with stakeholders, either through links or scheduled emails.
Users dislike
Occasional lagging and slowdowns, especially with larger notebooks.
Limited control over environment settings can cause package conflicts.
Free tier resource limitations can interrupt workflow.
Lack of advanced debugging tools.
Limited interface customization options, such as dark mode.
Data visualizations are limited and some common chart types are missing.
The tool can be slow, especially with large datasets or complex reports.
The user interface can be clunky and difficult to navigate.
Collaboration features could be improved.
Deepnote and Mode Ratings
G2
4.7/5
(238)
Glassdoor
4.9/5
(9)
G2
4.5/5
(329)
Capterra
4.6/5
(89)
Company health
Employee growth
12% increase in the last year
4% increase in the last year
Web traffic
21% decrease in the last quarter
6% increase in the last quarter
Financing
October 2021 - $24M
No data
How important is real-time collaboration within your data team's workflow?
Real-time collaboration is very important for our data team's workflow. Deepnote is highlighted for its excellent real-time collaboration features, while Mode's collaboration features are considered a weakness. This strong emphasis on real-time collaboration in Deepnote makes it a more appealing option if seamless teamwork and concurrent data analysis are critical requirements.
Which platform better supports your team's existing coding skills (Python/SQL/R)?
Both Deepnote and Mode support Python, SQL, and R. However, Deepnote emphasizes Python integration more heavily while Mode appears to focus primarily on SQL, with Python and R integrations as supporting features. Therefore, if your team primarily uses Python, Deepnote might be a slightly better fit. If SQL is your team's dominant language, Mode might be the preferable choice.
What are the advantages of Deepnote?
Deepnote offers advantages in terms of its AI-powered workspace assisting with data tasks, broader data source integrations (50+ compared to Mode's unspecified number), and support for multiple coding languages alongside no-code options, making it more versatile for diverse user skill sets within a team. Deepnote also exhibits stronger growth indicators with higher website traffic and employee growth on LinkedIn, suggesting a more dynamic and rapidly developing platform. Finally, user reviews highlight Deepnote's superior real-time collaboration features, intuitive interface, and seamless integrations.
What are the disadvantages of Deepnote?
Deepnote users have reported occasional lagging and slowdowns, especially with larger notebooks. Some also mention limited control over environment settings, which can lead to package conflicts. The free tier's resource limitations may interrupt workflow, and users have noted a lack of advanced debugging tools and limited interface customization.
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.
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