# Tableau vs Sigma: which do AI models recommend for BI & dashboards, October 2026

GTM AI Recommendation Index, October 2026 Edition, Dashboards and data visualization. Two of fourteen models named Tableau first on the direct prompt; one named Sigma. Page: https://gtm-ai-index.com/gtm-data/dashboards-and-data-visualization/tableau-vs-sigma/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Tableau | 8% | #3 of 11 | 21% | 63 | 14 of 14 |
| Sigma | 2% | #6 of 11 | 0% | 15 | 8 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: tableau first (first choices: Microsoft Power BI, Tableau) (alternatives: Metabase)
- Mistral Small: tableau first (first choices: Tableau) (alternatives: Domo, Microsoft Power BI)
- Gemini 3.5 Flash: sigma first (first choices: Sigma) (alternatives: Explo, Metabase, Microsoft Power BI, Sisense, Tableau)
- GPT-5.4 mini: neither first, one named (first choices: Microsoft Power BI) (alternatives: Looker, Tableau)
- Perplexity Sonar: neither first, one named (first choices: Microsoft Power BI) (alternatives: Tableau, Zoho Analytics)
- Grok 4.1 Fast: neither first, one named (first choices: Microsoft Power BI) (alternatives: Looker, Tableau, Zoho Analytics)
- DeepSeek V4 Flash: neither first, one named (first choices: Microsoft Power BI) (alternatives: Domo, Looker Studio, Sigma, Tableau, ThoughtSpot)
- Qwen 3.7 Flash: neither first, one named (first choices: Microsoft Power BI) (alternatives: Domo, Looker, Tableau, Zoho Analytics)
- Kimi K2: neither first, one named (first choices: Microsoft Power BI) (alternatives: Sigma, Sisense, Tableau)
- GLM 4.7 FlashX: neither first, one named (first choices: Microsoft Power BI) (alternatives: Looker, Qlik Sense, Tableau)
- MiniMax M2.5: neither first, one named (first choices: Microsoft Power BI) (alternatives: Domo, Tableau)
- GPT-6 Luna: neither first, one named (first choices: Microsoft Power BI) (alternatives: Looker, Sigma, Tableau)
- Muse Glimmer 30B: neither first, one named (first choices: Microsoft Power BI) (alternatives: Domo, Looker, Looker Studio, Tableau, ThoughtSpot)
- Llama 4 Maverick: neither named

## What the models said about Tableau

- "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)

## What the models said about Sigma

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.
