Based on our record, Amazon QuickSight should be more popular than Qlikview. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
5. Data visualization is the tool that provides a view of the data for your data consumers. The purpose of Amazon QuickSight is to empower your data consumers (especially the business users) for building their visualization. QuickSight is powered by SPICE (Super-Fast, Parallel, In-Memory Calculation Engine) and provides the possibility to build easily dashboards and share it with other users. As highlighted in... - Source: dev.to / 2 months ago
For many enterprise grade applications, providing a point where you can access in-depth analysis about your data has become a crucial feature. There are many approaches to this - you can build you own web application and backend that has views allowing customers to filter and analyse data. Alternatively, you can use the embedded analytics capabilities of Looker, Tableau or Sisense - all of which are large... - Source: dev.to / 3 months ago
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. - Source: Reddit / 4 months ago
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Redash - Data visualization and collaboration tool.
Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
Cumul.io - Cumul.io is a building block for dashboards, embedded inside your SaaS platform.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.