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

GTM AI Recommendation Index, October 2026 Edition, Dashboards and data visualization. Eleven of fourteen models named Microsoft Power BI first on the direct prompt; one named Sigma. Page: https://gtm-ai-index.com/gtm-data/dashboards-and-data-visualization/microsoft-power-bi-vs-sigma/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Microsoft Power BI | 52% | #1 of 11 | 17% | 71 | 14 of 14 |
| Sigma | 2% | #6 of 11 | 0% | 15 | 8 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: microsoft power bi first (first choices: Microsoft Power BI, Tableau) (alternatives: Metabase)
- GPT-5.4 mini: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Looker, Tableau)
- Perplexity Sonar: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Tableau, Zoho Analytics)
- Grok 4.20: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Looker, Tableau, Zoho Analytics)
- DeepSeek V4 Flash: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Domo, Looker Studio, Sigma, Tableau, ThoughtSpot)
- Qwen 3.7 Flash: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Domo, Looker, Tableau, Zoho Analytics)
- Kimi K2: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Sigma, Sisense, Tableau)
- GLM 4.7 FlashX: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Looker, Qlik Sense, Tableau)
- MiniMax M2.5: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Domo, Tableau)
- GPT-6 Luna: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Looker, Sigma, Tableau)
- Muse Glimmer 30B: microsoft power bi first (first choices: Microsoft Power BI) (alternatives: Domo, Looker, Looker Studio, Tableau, ThoughtSpot)
- Gemini 3.5 Flash: sigma first (first choices: Sigma) (alternatives: Explo, Metabase, Microsoft Power BI, Sisense, Tableau)
- Mistral Small: neither first, one named (first choices: Tableau) (alternatives: Domo, Microsoft Power BI)
- Llama 4 Maverick: neither named

## What the models said about Microsoft Power BI

- "Dataset limits and performance: Pro tier caps at 1GB, slows on large data/DAX queries... When to avoid: Non-Microsoft stacks, massive datasets" (Grok 4.20, negative prompt, soft negative)
- "If you are outside the Microsoft ecosystem, need platform-agnostic deployment, or don't want to invest in DAX and premium-capacity administration." (Perplexity Sonar, negative prompt, soft negative)
- "Why to be cautious: Power BI is incredibly powerful and cost-effective, but mostly if you are already in a Microsoft/Azure environment." (Gemini 3.5 Flash, negative prompt, soft negative)
- "Microsoft Shop? ... $\rightarrow$ Power BI. It integrates natively, has deep Excel integration ... usually the cheapest option" (Qwen 3.7 Flash, scale prompt, first choice)
- "Microsoft Power BI — *Best Overall Value* ... Start with Power BI if you're cost-conscious and in the Microsoft ecosystem" (Kimi K2, direct prompt, first choice)
- "Power BI is almost always the default recommendation. It is widely considered the industry standard for mid-market companies" (Gemini 3.5 Flash, paraphrase 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.