Zero of fourteen models named Metabase first on the direct prompt; zero named Qlik Sense. Both were named by all fourteen models and Metabase carries 45 labels and Qlik Sense 38, so the shares are not directly comparable.
United States. Named in four categories this edition.
By Qlik, King of Prussia, United States, founded 1993. Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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.
Across every category in the November 2026 Edition, Metabase and Qlik Sense were named in the same answer forty-two times, of the 145 answers naming Metabase and the 102 naming Qlik Sense. In those answers Qlik Sense took the first choice zero times and Metabase four.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Metabase, Superset, and similar options can reduce licensing costs, but configuration, upgrades, security, and governance may require substantial technical expertise.” Perplexity Sonar · negative prompt · soft negative
“better for startups or technical teams. Lacks enterprise governance for scaling B2B sales ops.” Kimi K2 · direct prompt · soft negative
“Limitations: Less enterprise-grade features compared to paid competitors” Kimi K2 · comparative prompt · soft negative
“Metabase (Best Overall Balance) ... widely considered the best starting point for startups and small businesses” Qwen 3.7 Flash · budget prompt · first choice
“the best overall value is usually Metabase” GPT-5.4 mini · budget prompt · first choice
“Best for a technical team with a PostgreSQL/MySQL database; self-hosting can be free, but requires server administration.” Perplexity Sonar · budget prompt · alternative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Proprietary tools with limited data export options (e.g., some Qlik or Tableau deployments) can make migration difficult later.” MiniMax M2.5 · negative prompt · soft negative
“Products such as Sisense, Domo, and Qlik may be capable, but quote-led pricing makes total cost and renewal exposure harder to assess.” Perplexity Sonar · negative prompt · soft negative
“Sigma, Looker, Amazon Quick Sight and Qlik's agentic features are commonly flagged for extra due diligence.” Muse Glimmer 30B · negative prompt · soft negative
“Qlik Sense (if you need strong data exploration)” GLM 4.7 FlashX · scale prompt · first choice
“Choose Qlik if associative exploration, complex data discovery, and minimizing dependence on a single cloud ecosystem are priorities.” Perplexity Sonar · paraphrase prompt · alternative
“Choose Qlik Sense if you want to discover hidden relationships in your data through associative analysis” Kimi K2 · comparative 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.