Tableau vs Qlik Sense
Zero of twelve models named Tableau first on the direct prompt; zero named Qlik Sense. Both were named by all twelve models and Tableau carries 55 labels and Qlik Sense 25, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category this edition.
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
TableauFirst choices, of twelve modelsQlik Sense
Across every category in the September 2026 Edition, Tableau and Qlik Sense were named in the same answer sixty-eight times, of the 225 answers naming Tableau and the 70 naming Qlik Sense. In those answers Qlik Sense took the first choice one time and Tableau nine.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | |
Tableau Qlik Sense first choice named as an alternative argued againstblank: not namedEach cell is one answer, Tableau on the left and Qlik Sense on the right.The direct prompt
Neither was the first choice, one was named
10 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.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
Tableau17%#2 of 11Qlik Sense2%#5 of 11What the models said about Tableau
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Tools to Avoid on a Budget- Tableau — $75/user/month for creators; minimums are onerous” DeepSeek V4 Flash · budget prompt · hard negative
“Tableau can be significantly more expensive than Power BI for standard dashboards, so it is worth caution if you do not need advanced visual analytics” Perplexity Sonar · negative prompt · soft negative
“If you need advanced visualization: Tableau (strongest visualization library, better for analyst-driven organizations)” Mistral Small · scale prompt · first choice
“The recommended data visualization platform for a mid-sized B2B company is Tableau, Microsoft Power BI, or Qlik Sense.” Llama 4 Maverick · paraphrase prompt · first choice
“Choose Tableau if aesthetics and deep visual storytelling are the highest priority.” Qwen 3.7 Flash · 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
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.