According to the BARC Benchmark, in a new industry benchmark, Qlik Cloud Analytics achieved significantly higher user throughput and stability than Microsoft Power BI. The keyword “cloud analytics platform” is central to this report, as are “BI performance” and “analytics scalability.”
The independent study by BARC evaluated two leading cloud analytics platforms under realistic conditions. It measured how quickly users completed tasks and how reliably the system stayed fast as usage rose. In this “BI performance” review, Qlik’s “cloud analytics platform” delivered roughly three times faster response times than Power BI.
Moreover, in metrics related to “user throughput,” Qlik processed approximately twice as many sessions per hour at scale (10 million rows, 50 simultaneous users) versus Power BI.
When it came to “stability,” Qlik kept response times consistent as concurrency increased, whereas Power BI showed greater variability under load.
BARC used a normalized index to present results: Qlik scored 100 for both productivity and scalability, while Power BI scored only 31 for productivity and 48 for scalability (overall 40).
This outcome matters for enterprises seeking a “cloud analytics platform” that supports heavy usage and maintains speed. As adoption of AI and data-intensive workloads grows, firms increasingly demand BI systems that scale without retarding performance.
In short, this benchmark sets a clear signal: when measuring “BI performance” across throughput, stability, and scalability, Qlik Cloud Analytics leads. Buyers looking at analytics solutions should pay attention to these findings. They should compare platforms based on real-world usage, not just their feature lists.
For more insights on methodology or to review full data, see the BARC Benchmark study.
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News Source: Businesswire.com