Qlikview

Best Qlikview Alternatives

Compare 5 alternatives for 2026

What is Qlikview? Qlikview is a modern analytics platform that offers powerful and interactive dashboards and analytics for better task management and a more productive workflow. The game-changing Associative Engine that the platform is built upon, takes analytics to the next level. With such modern analytics, methods of data management and utilization have undergone revolutionary changes in every organization. It comes with an intuitive visual dashboard and analytical reports that allow you to enhance your business intelligence and handle your multi-cloud structure efficiently. How is Qlikview Beneficial for Your Business? Qlikview comes with a classic and best-in-class analytics solution that enables…

Web, Windows

Key Features

Access ControlAd Hoc ReportsAnalytics & ReportingAPI IntegrationDashboardsMulti Device SupportOnline Analytical Processing (OLAP)Performance ManagementPerformance Metrics
Paid

Top 5 Qlikview competitors

Curated list of the best data analysis software tools to replace Qlikview

Qlikview — Pros & Cons

Pros

  • QIX in-memory engine provides exceptional performance for responsive analyses and interactive dashboards.
  • Excellent for consolidating data from disparate sources like spreadsheets and ERP systems into a single view.
  • Facilitates powerful data discovery, allowing users to analyze data and uncover new business insights without developer intervention.
  • Offers highly customizable dashboards and various colorful data visualization options for clear reporting.
  • The QlikView Desktop client supports offline data preparation and application building for content creation and consumption.

Cons

  • User interface is often described as outdated, tab-based, lacking modern drag-and-drop functionality and visual appeal.
  • Receives few new features or innovation as Qlik Sense has become the vendor's primary modern BI and analytics platform.
  • Data preparation and application development demand extensive scripting and technical expertise, often requiring SQL knowledge.
  • Lacks centralized data governance and role-based security, requiring security to be built at the document level.
  • Can be resource-intensive, with data load capacity limited by the computer's RAM, potentially slowing performance on large datasets.