Choosing between Matomo and Qlik Sense is a common decision for analytics & bi buyers in 2026. Qlik Sense has been in the market since 1993, giving it a 14-year head start over Matomo (founded 2007). Matomo serves 1.4M+ websites users while Qlik Sense has 40K+ orgs users globally. Matomo differentiates with web analytics and heatmaps, while Qlik Sense leads with associative engine and ai insights. In this head-to-head comparison, Matomo earns a higher hiltonsoftware.co score of 88/100 — but the right choice depends on your specific needs, budget, and team size.
AI Verdict
After comparing Matomo and Qlik Sense across features, pricing, and user satisfaction, Matomo takes the lead with a score of 88/100 versus Qlik Sense's 86/100. Matomo's key advantages include "full data ownership and privacy" and "feature-rich ga alternative". That said, Qlik Sense has its own strengths — particularly "unique associative data model" — making it a viable alternative for specific use cases.
On pricing, there's a clear difference: Matomo offers a free plan, making it more accessible for individuals and small teams exploring analytics & bi solutions. Qlik Sense starts at $20/user/mo with no free tier, but often justifies the cost with associative engine and ai insights.
Bottom line: Choose Matomo if you need organizations needing full-featured, gdpr-compliant web analytics they own. Go with Qlik Sense if your priority is data analysts wanting powerful associative data exploration and discovery. Both are strong analytics & bi tools — we recommend trying the free plan of each before committing.
CHOOSE MATOMO IF:
Organizations needing full-featured, GDPR-compliant web analytics they own.
CHOOSE QLIK SENSE IF:
Data analysts wanting powerful associative data exploration and discovery.
Frequently Asked Questions
Is Matomo better than Qlik Sense in 2026?
Matomo scores 88/100 on hiltonsoftware.co compared to Qlik Sense's 86/100. Matomo stands out for "full data ownership and privacy" and is best for Organizations needing full-featured, GDPR-compliant web analytics they own. Qlik Sense is known for "unique associative data model" and suits Data analysts wanting powerful associative data exploration and discovery. Your specific workflow and team size should guide the decision.
What is the pricing difference between Matomo and Qlik Sense?
Matomo offers a free plan while Qlik Sense starts at $20/user/mo, making Matomo the more budget-friendly option. When comparing value, consider that Matomo (founded 2007, 1.4M+ websites users) includes features like Web analytics, Heatmaps, Session recordings. Qlik Sense (founded 1993, 40K+ orgs users) offers Associative engine, AI insights, Data integration. The right choice depends on which features matter most to your team.
What are the main differences between Matomo and Qlik Sense?
The key differences come down to focus and approach. Matomo excels at Web analytics, Heatmaps, Session recordings, while Qlik Sense focuses on Associative engine, AI insights, Data integration. Matomo's main advantage is "full data ownership and privacy", though some users note "self-hosting requires maintenance". Qlik Sense's strength is "unique associative data model", but "steep learning curve" can be a drawback. Both serve the Analytics & BI market but target different user profiles.
Can I switch from Matomo to Qlik Sense?
Switching between Matomo and Qlik Sense is possible since both operate in the Analytics & BI space. Before migrating, export your data from Matomo and check Qlik Sense's import capabilities. Key features to verify compatibility: Web analytics, Heatmaps, Session recordings (Matomo) vs Associative engine, AI insights, Data integration (Qlik Sense). Consider running both tools in parallel during a trial period to ensure a smooth transition.
Which is better for small teams: Matomo or Qlik Sense?
For small teams, Matomo has an advantage with its free plan, letting you get started without financial commitment. Matomo is best for Organizations needing full-featured, GDPR-compliant web analytics they own. Qlik Sense (starting at $20/user/mo) may be worth the investment if your team specifically needs Associative engine, AI insights, Data integration.