Published
Jun 11, 2026
23 • Pages
The Numbers Don't Lie: Qlik Outperforms Power BI Where It Counts
Feature checklists and vendor demos can't tell you how a BI platform actually performs when 50 users are hitting it simultaneously with real data. The BARC Benchmark can and the results are striking. This independent research report puts Microsoft Power BI and Qlik through identical real-world enterprise conditions, measuring what actually drives business value: productivity, scalability, and consistency under load.
BARC
Technology
AUTHOR
Thomas Zeutschler, Stefan Sexl
AUTHORED YEAR
2025
AUDIENCE
BI Leaders & Enterprise Decision-Makers
INDUSTRY
Technology (Business Intelligence)
TOPIC
BI Platform Benchmark - Power BI vs. Qlik
White Paper Snapshot
Everything you need to know in under 30 seconds
Results & Impact
Qlik Score: 100 vs. Power BI: 40
Across both productivity and scalability dimensions, Qlik achieved a perfect benchmark score of 100 while Power BI scored 40, meaning enterprises running Qlik can expect dramatically more user throughput, faster response times, and more predictable performance under the loads that matter most.
64% Less Time Per Task
In direct session-by-session comparison, users working in Qlik completed the same analytical tasks in just 64% of the time required in Power BI, a measurable productivity gain that scales across every analyst, every day, across the entire organization.
Highlights
Why Performance Is No Longer Optional in the Age of AI
Research consistently shows users begin disengaging when responses exceed 2–3 seconds, and with younger workforces expecting near-instant results, the tolerance threshold is shrinking toward zero.
AI and agent-based systems are amplifying the scalability challenge exponentially: a single AI agent can generate hundreds of queries in the time a human generates one, pushing shared BI infrastructure to breaking point far faster than traditional usage patterns.
BARC's analysis points to Qlik's use of WebSocket protocol, enabling continuous bidirectional server-client communication, as a key architectural differentiator over Power BI's stateless HTTP model, which requires a full new request for every server response.
Qlik's performance actually remained stable or slightly improved as concurrent users increased from 1 to 50, a pattern BARC's engineers interpreted as evidence of dynamic resource allocation and a genuinely modern, adaptive backend architecture.
For enterprise decision-makers, the benchmark's core message is to look beyond features and marketing materials: productivity, efficiency, and scalability under real load have direct and measurable impact on business value and total cost of ownership.
Key Topics
Qlik Delivers 2.5x More User Sessions Per Hour Than Power BI
Under identical real-world conditions, same data model, same tasks, same hardware, Qlik completed 13,058 net user sessions per hour versus Power BI's 4,049, earning a Productivity Score of 100 against Power BI's 31.
Qlik's average response time was 1.37 seconds compared to Power BI's 3.84 seconds, roughly three times faster, and critically, Qlik produced zero session dropouts while Power BI recorded at least one complete non-response during the benchmark.
Power BI required approximately 30% more user interactions to complete the same tasks as Qlik, particularly when navigating hierarchical filters, a friction cost that compounds across every user, every day.
Some Power BI filter update requests took 60, 120, or even 300 seconds to respond, delays aligned suspiciously to minute boundaries, which BARC analysts interpreted as possible throttling on shared infrastructure.
The total BARC Benchmark Score: Qlik 100, Power BI 40, a gap the BARC team described as unexpected even by their own standards, underscoring that real-world performance diverges sharply from feature-list comparisons.