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Dashboards and data visualization · September 2026 Edition

Metabase vs Qlik Sense

Zero of twelve models named Metabase first on the direct prompt; zero named Qlik Sense. Metabase was named by eleven of the twelve models and Qlik Sense by twelve and Metabase carries 32 labels and Qlik Sense 25, so the shares are not directly comparable.

Metabase

accepted challenger

United States. Named in three categories this edition.

Qlik Sense

accepted challenger

Named in one category this edition.

First-choice share10%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 13; printed, not drawn.
Labels3225A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Metabase reading right to left. Rank and label count are printed, not drawn.Microsoft Power BI was named alongside these two in twelve of the twelve direct answers. Microsoft Power BI vs Metabase · Microsoft Power BI vs Qlik Sense · Looker Studio vs Metabase

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.
MetabaseFirst choices, of twelve modelsQlik Sense
Direct00
Paraphrase01
Comparative00
Budget-constrained50
Scale-constrained00
Negative004 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.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Metabase 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
Metabase Qlik Sense first choice named as an alternative argued againstblank: not namedEach cell is one answer, Metabase on the left and Qlik Sense on the right.

The direct prompt

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

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Microsoft Power BI, Zoho Analytics alternatives: Looker, Metabase, Omni, Tableau
Gemini 3.5 FlashMicrosoft Power BI alternatives: Cube, Metabase, Sigma, Sisense
Grok 4.1 FastMicrosoft Power BI alternatives: Metabase, Tableau, Zoho Analytics
MiniMax M2.5Microsoft Power BI alternatives: Domo, Qlik Sense, Tableau, ThoughtSpot

Neither was named

8 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniMicrosoft Power BI alternatives: Domo, Looker, Tableau, ThoughtSpot
Perplexity SonarMicrosoft Power BI alternatives: Fairview, Looker
Mistral SmallMicrosoft Power BI alternatives: Domo, Looker, Sisense, Tableau
DeepSeek V4 FlashMicrosoft Power BI alternatives: Looker, Sigma, Tableau, Zoho Analytics
Llama 4 MaverickThoughtSpot alternatives: Hex, Looker, Microsoft Power BI, Sigma, Sisense, Tableau
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

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
Metabase leads by four points.
Metabase4%#4 of 8
Qlik Sense0%#– of 8
The full small business standing →
Mid-marketThe figures above
Metabase leads by eight points.
Metabase10%#3 of 13
Qlik Sense2%#7 of 13
The full mid-market standing →
Enterprise
The order flips: Qlik Sense leads at enterprise.
Qlik Sense2%#5 of 11
Metabase0%#11 of 11
The full enterprise standing →

What the models said about Metabase

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

“this is the gold standard for getting high-end BI capabilities to an unlimited number of users for the cost of a basic cloud hosting server” Gemini 3.5 Flash · budget prompt · first choice
“Microsoft Power BI, and Metabase offer the best balance of cost and capability for small and mid-sized teams” Claude Haiku 4.5 · budget prompt · first choice
“the best BI and dashboard tool is usually Metabase if you want the lowest cost with solid dashboarding” Perplexity Sonar · budget 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.