Summary
Foundation Year | 2013 |
Country | 🇺🇸 United States |
Founders | Derek Steer, Benn Stancil, Josh Ferguson |
Tier | Free Trial, Paid |
Platforms | API, Web Browsers |
AI Features | Advanced Analysis, AI Analytics, API, Collaboration, Data Visualization, Integration |
Pricing From | N/A |
Support | Yes (Email) |
Best Used For | AI Analytics |
Affiliate Program | No |
White Label | No |
API | Yes |
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Description
Features
- SQL Editor
- Integrated Notebooks
- Visual Explorer
- Reports & Dashboards
- Datasets
- AI Assist
- Security
- Integrations
Free Plan & Pricing
Refund Policy
5 Ratings
[4.5/5]
[N/A]
5app.ai Rating
[N/A]
AI Review
[4.5/5]
Mode Analytics is highly praised for its comprehensive platform in collaborative Business Intelligence and Interactive Data Science. Users appreciate its ease of use and functionality, with many reviewers noting that it is a great tool for data analysis and visualization. The platform is particularly commended for its ability to make complex data accessible and user-friendly, even for those without extensive SQL knowledge. However, some users find the interface not terribly user-friendly and suggest that it could be more visually pleasing. Overall, Mode Analytics is a powerful tool that supports data-driven decision-making, with a strong customer support team that maintains high CSAT scores and quick response times[1][2][4].
Last Fetched Date: December 11, 2024, 8:59 amOur Expert's Opinion
[4/5]
After testing Mode and comparing it to similar tools, I found it to be a great platform for both data experts and business users. The integration of SQL, Python, and R is impressive, making complex analysis easy for advanced users. The dashboards are clear and interactive, and sharing insights is simple. However, the learning curve for beginners can be steep, especially if they don’t have much experience with coding or data analysis. Also, while the platform is fast and powerful, setting up some advanced features takes time and technical knowledge. Overall, it’s a strong choice for teams with mixed technical skills, but it might not be the best fit for companies without a dedicated data team.
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