Two of fourteen models named Tableau first on the direct prompt; one named Sigma. Tableau was named by fourteen of the fourteen models and Sigma by eight and Tableau carries 63 labels and Sigma 15, so the shares are not directly comparable.
Named in six categories this edition.
By SIGMA COMPUTING, San Francisco. Named in two categories 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 October 2026 Edition, Tableau and Sigma were named in the same answer thirty times, of the 242 answers naming Tableau and the 35 naming Sigma. In those answers Sigma took the first choice one time and Tableau 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 4.1 Fast | ||||||
| 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.
“Avoid investing in massive enterprise platforms (like full-scale Tableau Server... Avoid implementing any self-service tool (Tableau, Power BI, Sisense) without establishing data governance” Qwen 3.7 Flash · negative prompt · soft negative
“Performance/scalability: Struggles with very large datasets... When to avoid: High-volume data without IT support or strict budgets.” Grok 4.1 Fast · negative prompt · soft negative
“If your team cannot absorb a steep learning curve or you need heavy in-tool data transformation rather than dedicated ETL.” Perplexity Sonar · negative prompt · soft negative
“Salesforce Shop? $\rightarrow$ Tableau. Since Salesforce acquired Tableau, it is the de facto standard for Salesforce-centric orgs.” Qwen 3.7 Flash · scale prompt · first choice
“starting with Looker Studio (if budget-conscious) or Tableau (if you need robust analytics)” MiniMax M2.5 · paraphrase prompt · first choice
“Power BI and Tableau dominate for general-purpose BI with strong visualization.” GLM 4.7 FlashX · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“go with Sigma Computing” Gemini 3.5 Flash · direct prompt · first choice
“Choose Sigma if your team lives in Excel, you use Snowflake/Databricks, and you want business users to perform heavy ad-hoc analysis on live data.” Gemini 3.5 Flash · comparative prompt · alternative
“Sisense or Sigma are particularly strong choices due to their embedded analytics capabilities” Kimi K2 · 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.