Every category where a model named Microsoft Power BI for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Dashboards and data visualization	GTM data and infrastructure	62%	1 of 73	8%	62	endorsed leader
Customer intelligence and data science	GTM data and infrastructure	2%	13 of 158	0%	5	under 10 labels · led by Google Analytics 4 at 16%
Data warehouse and reverse ETL for marketing	GTM data and infrastructure	0%	98 of 100	100%	2	under 10 labels · led by Hightouch at 42%
Customer success platforms	Customer	0%	32 of 69	0%	1	under 10 labels · led by ChurnZero at 39%
Data management platforms	GTM data and infrastructure	0%	119 of 183	0%	1	under 10 labels · led by Segment at 18%
Product analytics	GTM data and infrastructure	0%	40 of 43	100%	1	under 10 labels · led by Amplitude at 30%

Movement

This is the first edition on this tier, so no move can be computed for Microsoft Power BI yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Microsoft Power BI across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	3	2	0	0	5
GPT-5.4 mini	4	0	2	0	6
Gemini 3.5 Flash	3	2	1	1	7
Perplexity Sonar	3	1	2	0	6
Grok 4.1 Fast	5	0	0	0	5
Mistral Small	4	1	0	1	6
DeepSeek V4 Flash	5	1	0	0	6
Llama 4 Maverick	1	1	1	0	3
Qwen 3.7 Flash	3	1	1	1	6
Kimi K2	3	1	2	2	8
GLM 4.7 FlashX	2	1	1	2	6
MiniMax M2.5	4	0	3	1	8

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct35 labels25

Paraphrase38 labels27

Comparative46 labels23not counted in share

Budget-constrained38 labels17

Scale-constrained29 labels14

Negative41 labels8not counted in share

First choiceAlternativeMentionNegative227 labels in all, every segment counted; 83 of the 114 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Microsoft Power BI is the best default choice because it offers broad capability, strong self-service dashboards, and low starting cost” Perplexity Sonar · BI & dashboards · direct prompt · first choice

“Microsoft Power BI is the strongest default: it's the most affordable, integrates seamlessly, and scales with self-service.” DeepSeek V4 Flash · BI & dashboards · direct prompt · first choice

“Strengths: Deep integration with Microsoft ecosystem (Excel, Azure, SQL Server), affordable pricing, AI Copilot features” MiniMax M2.5 · BI & dashboards · comparative prompt · first choice

“Power BI is probably the best all-around customer analytics and intelligence platform for a company with a limited budget.” GPT-5.4 mini · Customer intel · budget prompt · first choice

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.

“they lack native behavioral engines ... Avoid forcing your product team to use them” Gemini 3.5 Flash · Product analytics · negative prompt · hard negative

“Avoid entirely: ... Power BI Pro for scaling marketing teams” Kimi K2 · Warehouse & ETL · negative prompt · hard negative

“Power BI Limitations: ... Complex DAX syntax that's difficult to learn ... Slower performance with large datasets” GLM 4.7 FlashX · BI & dashboards · negative prompt · soft negative

“While popular and affordable, users consistently report: - Severe performance lags with database connections” MiniMax M2.5 · BI & dashboards · negative prompt · soft negative

Named alongside

The products named in the same answers as Microsoft Power BI, over the 227 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Power BI was named but was not.

ProductSame answerTook the first choice insteadHead to head

Tableau191 of 2276Not in the top three

Looker123 of 2271Not in the top three

Looker Studio95 of 22724Compare →

Metabase95 of 2276Compare →

Domo74 of 2271Not in the top three

Qlik Sense70 of 2271Not in the top three

Zoho Analytics64 of 22714Not in the top three

ThoughtSpot62 of 2271Not in the top three

Sisense47 of 2270Not in the top three

Sigma43 of 2271Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Microsoft Power BI. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 45 of the 227 answers that named Microsoft Power BI and are not a share of its labels.

Domains cited

domo.com17

qlik.com13

ovaledge.com12

toolradar.com12

improvado.io11

selecthub.com11

thedigitalprojectmanager.com11

holistics.io9

thoughtspot.com9

fanruan.com8

113 of the 113 domain citations in answers naming Microsoft Power BI came from somebody else's page.

Pages cited

thedigitalprojectmanager.com/tools/business-intelligence-tools11

ovaledge.com/blog/business-intelligence-tools9

qlik.com/us/business-intelligence/business-intelligence-tools9

toolradar.com/guides/best-business-intelligence-tools9

ovaledge.com/blog-template-test/the-best-business-intelligence-tools-in-2026-compared-and-8

selecthub.com/c/business-intelligence-tools8

domo.com/learn/article/business-intelligence-tools7

holistics.io/blog/business-intelligence-bi-tools7

Pages are listed as the models cited them.

Names read as Microsoft Power BI

What the judge wrote, as written, with how often. The vendor table decides that these count as Microsoft Power BI; a claim can dispute any of them.

Power BI 30Power BI (Microsoft) 1Power BI (Pro Tier) 1Teams + SharePoint + Power BI 1

The company

Microsoft is the company behind Microsoft Power BI.

Website: microsoft.com
Headquarters: Vancouver, Canada
Founded: 1975
Employees: about 228,000 (2024)
Ownership: Public, 4338 on Hong Kong Stock Exchange

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase

Is this your product?

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 Microsoft Power BI'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 Microsoft Power BI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at microsoftpowerbi.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.