Qlik Sense vs Qrvey

Qlik Sense focuses on independent data analysis for enterprises with advanced tools that include AI, natural language processing and automation. User reviews praise it for its associative engine, interactive visualizations and sophisticated analytics.Its dataset-linking functionality gets my vote as the most significant differentiator since it makes data modeling seamless and saves time. In comparison, manually linking tables in Tableau and Power BI feels like a huge task.It supports fewer features out of the box (69%) compared to Tableau (72%) and Power BI (74%), but this could be intentional. Qlik has ready-to-go modules for analytics, automation and printing, so keeping it lean is a smart vendor move. Users should be aware that additional modules will cost extra, though.Qlik Sense SaaS is multi-cloud, so unless the admin assigns separate workspaces, your users won’t be able to create personal dashboards — everything is shared otherwise. Some users said the platform slowed when processing large workloads, which is a common issue with many other platforms. Assess your need for speed before committing to a purchase.If upgrading from QlikView, you’ll need to create new objects initially, as both platforms have different architectures. However, the vendor assists in seamless migration with the Qlik Analytics Modernization program.Overall, Qlik Sense is an efficient platform that offers many analysis capabilities worth considering. We recommend checking it out if you’re looking for an alternative to Power BI, entrenched in Microsoft technology, or Tableau, with its emphasis on visualization.

User reviews from the past year paint a mixed picture of Qrvey. While many appreciate its intuitive drag-and-drop interface, robust data visualization capabilities, and seamless integration with existing applications, some users have expressed concerns about its pricing model and occasional performance hiccups. Qrvey shines when it comes to its no-code approach, allowing users to build complex analytics dashboards without writing a single line of code. This is particularly valuable for businesses that lack dedicated data science teams, as it empowers non-technical users to generate insights independently. However, some users have noted that Qrvey's pricing, which is based on data volume, can become prohibitive for organizations dealing with large datasets. Additionally, while generally praised for its performance, some users have reported occasional slowdowns, particularly when handling complex queries or large datasets. Qrvey's strength lies in its ability to democratize data analytics, making it accessible to a wider audience within an organization. Its no-code platform and intuitive design make it ideal for businesses looking to empower non-technical users to explore data and generate insights. However, organizations dealing with massive datasets might find its pricing structure less appealing, and occasional performance issues might require some patience.