Summary
| Foundation Year | 2013 |
| Country | N/A |
| Founders | No founders listed |
| Tier | Free Trial, Paid |
| Platforms | API, Web Browsers |
| AI Features | Advanced AI Analysis, Advanced Analysis, AI Analytics, API, Data Visualization |
| Pricing From | N/A |
| Support | Yes |
| Best Used For | AI Analytics |
| Affiliate Program | No |
| White Label | No |
| API | Yes |
Gallery
Description
Features
- Browser-based interface
- Ease of use
- Query editor with schema browser and auto-complete
- Data visualizations and dashboards
- Collaboration and sharing capabilities
- Scheduled data refreshes
- Alerts for data changes
- REST API access
- Support for multiple data sources
Free Plan & Pricing
Refund Policy
5 Ratings
[4.3/5]
[N/A]
5app.ai Rating
[4/5]
AI Review
[4.2/5]
Redash is easy to use and set up, connecting many common databases quickly. It offers good visualization and sharing features but may be slow refreshing data and lacks advanced dashboarding for large enterprises. It is cost-effective and suits teams with SQL knowledge well.
Sources:- Capterra.com, G2.com, Softwarefinder.com
Our Expert's Opinion
[4/5]
After testing Redash and comparing it with other similar apps, I found it to be a solid tool for visualizing and sharing data, especially for teams that rely on SQL. The query editor is simple to use, and the ability to schedule updates is a nice touch. However, the interface can feel outdated and less intuitive than newer tools on the market. While it supports many data sources, setting them up isn’t as smooth as it could be for beginners. The lack of native apps for mobile and desktop is also a drawback. Overall, Redash is great for tech-savvy teams who need a customizable and open-source tool, but it may not be the best choice for those looking for a more polished and beginner-friendly experience.
Saana Couri
Redash AI is a helpful tool for quickly accessing and visualizing data from many sources. Its AI features make running queries easier, and the dashboards are user-friendly. Sometimes it takes a bit to get used to, but overall it improves how we work with data.