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Dashboards and data visualization · September 2026 Edition

Microsoft Power BI vs Qlik Sense

Eleven of twelve models named Microsoft Power BI first on the direct prompt; zero named Qlik Sense. Both were named by all twelve models and Microsoft Power BI carries 62 labels and Qlik Sense 25, so the shares are not directly comparable.

Microsoft Power BI

endorsed leader

By Microsoft, Vancouver, Canada, founded 1975. Named in six categories this edition.

Qlik Sense

accepted challenger

Named in one category this edition.

First-choice share62%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 13; printed, not drawn.
Labels6225A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Microsoft Power BI reading right to left. Rank and label count are printed, not drawn.Tableau was named alongside these two in ten of the twelve direct answers. Microsoft Power BI vs Looker Studio · Microsoft Power BI vs Metabase · Microsoft Power BI vs Tableau

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the dashboards and data visualization page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Microsoft Power BIFirst choices, of twelve modelsQlik Sense
Direct110
Paraphrase121
Comparative60
Budget-constrained40
Scale-constrained40
Negative205 against Microsoft Power BI · 4 against Qlik Sense
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Microsoft Power BI and Qlik Sense were named in the same answer seventy times, of the 227 answers naming Microsoft Power BI and the 70 naming Qlik Sense. In those answers Qlik Sense took the first choice one time and Microsoft Power BI forty-seven.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Microsoft Power BI and Qlik Sense stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Microsoft Power BI Qlik Sense first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Power BI on the left and Qlik Sense on the right.

The direct prompt

The plain question, one answer per model, grouped by where Microsoft Power BI and Qlik Sense stood in it.

Microsoft Power BI first, Qlik Sense an alternative

11 of 12 modelsQlik Sense was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Microsoft Power BI, Zoho Analytics alternatives: Looker, Metabase, Omni, Tableau
GPT-5.4 miniMicrosoft Power BI alternatives: Domo, Looker, Tableau, ThoughtSpot
Gemini 3.5 FlashMicrosoft Power BI alternatives: Cube, Metabase, Sigma, Sisense
Perplexity SonarMicrosoft Power BI alternatives: Fairview, Looker
Grok 4.1 FastMicrosoft Power BI alternatives: Metabase, Tableau, Zoho Analytics
Mistral SmallMicrosoft Power BI alternatives: Domo, Looker, Sisense, Tableau
DeepSeek V4 FlashMicrosoft Power BI alternatives: Looker, Sigma, Tableau, Zoho Analytics
Qwen 3.7 FlashMicrosoft Power BI alternatives: Tableau, ThoughtSpot
Kimi K2Microsoft Power BI alternatives: Looker, Looker Studio, Tableau
GLM 4.7 FlashXMicrosoft Power BI alternatives: Looker, Tableau
MiniMax M2.5Microsoft Power BI alternatives: Domo, Qlik Sense, Tableau, ThoughtSpot

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Llama 4 MaverickThoughtSpot alternatives: Hex, Looker, Microsoft Power BI, Sigma, Sisense, Tableau

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Microsoft Power BI leads by thirty-six points.
Microsoft Power BI36%#1 of 8
Qlik Sense0%#– of 8
The full small business standing →
Mid-marketThe figures above
Microsoft Power BI leads by sixty points.
Microsoft Power BI62%#1 of 13
Qlik Sense2%#7 of 13
The full mid-market standing →
Enterprise
Microsoft Power BI leads by sixty-three points.
Microsoft Power BI65%#1 of 11
Qlik Sense2%#5 of 11
The full enterprise standing →

What the models said about Microsoft Power BI

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.

“Power BI Limitations: ... Complex DAX syntax that's difficult to learn ... Slower performance with large datasets” GLM 4.7 FlashX · negative prompt · soft negative
“While popular and affordable, users consistently report: - Severe performance lags with database connections” MiniMax M2.5 · negative prompt · soft negative
“Microsoft Power BI is the best default choice because it offers broad capability, strong self-service dashboards, and low starting cost” Perplexity Sonar · direct prompt · first choice
“Microsoft Power BI is the strongest default: it's the most affordable, integrates seamlessly, and scales with self-service.” DeepSeek V4 Flash · direct prompt · first choice
“Strengths: Deep integration with Microsoft ecosystem (Excel, Azure, SQL Server), affordable pricing, AI Copilot features” MiniMax M2.5 · comparative prompt · first choice

What the models said about Qlik Sense

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Performance degradation with large datasets (slow around 5GB) ... Steep learning curve” GLM 4.7 FlashX · negative prompt · soft negative
“Steeper learning curve; performance degradation with large datasets” Kimi K2 · negative prompt · soft negative
“Qlik Sense (but consider strategic uncertainty)” Mistral Small · negative prompt · soft negative
“Qlik Sense is a powerful tool for associative analysis and is a good fit for mid-market and enterprise organizations.” Llama 4 Maverick · paraphrase prompt · first choice
“If you have complex data relationships: Qlik Sense (associative analytics model)” Mistral Small · scale prompt · alternative
“Qlik Sense: Choose if you need associative analytics and free-form exploration” MiniMax M2.5 · direct prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.