Power BI Embedded
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Embedded analytics | Data platform | 2% | 14 of 72 | 41% | 27 | criticized challenger |
Movement
By model
How each model treated Power BI Embedded across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 1 | 1 | 4 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 2 | 0 | 2 | 4 |
| Mistral Small | 1 | 0 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 3 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 1 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 2 | 0 | 1 | 3 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Power BI Embedded and Explo are the top recommendations due to their ease of integration, strong security, and focus on customer-facing analytics” Mistral Small · Embedded analytics · paraphrase prompt · first choice
“capacity-based pricing that scales without per-viewer cost and represents the strongest economic model in the market for external sharing at scale” Claude Haiku 4.5 · Embedded analytics · direct prompt · alternative
“Microsoft-heavy environments favor Power BI Embedded for native Azure integration and broad connector support.” Muse Glimmer 30B · Embedded analytics · comparative prompt · alternative
“If you're in Microsoft/Salesforce ecosystems, lean Power BI Embedded (~$1/hr capacity) or Tableau.” Grok 4.1 Fast · Embedded analytics · direct prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Note that setting up true external multi-tenancy and matching your app's exact UI/UX in these legacy tools can be complex and expensive.” Gemini 3.5 Flash · Embedded analytics · scale prompt · soft negative
“Cons: Multi-tenancy challenges. ... unless you pay for dedicated capacity units (which gets expensive quickly).” Qwen 3.7 Flash · Embedded analytics · paraphrase prompt · soft negative
“Capacity-based pricing explodes with growth (platform fees); Copilot/AI limited in embedded mode” Grok 4.1 Fast · Embedded analytics · negative prompt · soft negative
“Tier 3 (Fastest time-to-value, some limitations): Power BI Embedded, Tableau Embedded, Domo” Kimi K2 · Embedded analytics · scale prompt · soft negative
Named alongside
The products named in the same answers as Power BI Embedded, over the 85 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Power BI Embedded was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 82 of the 85 answers that named Power BI Embedded and are not a share of its labels.
Domains cited
No domain is on file for Power BI Embedded, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Power BI Embedded stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 590 a month (“power bi embedded”)
- AI search demand for its name, est.
- 104 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This edition- First choices
- 4 across its categories
- Named in
- 85 answers
- Its own site cited
- No site on file to match
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as Power BI Embedded
Follow Power BI Embedded
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Power BI Embedded's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Power BI Embedded, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Power BI Embedded by email, built from the raw record of the edition. It shows:
- where Power BI Embedded is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Power BI Embedded, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.