Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 55 → 81 of 161
Microsoft · 2 categories · Named, not rankedMicrosoft Fabric
25Judge labels
1First choices
5Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Microsoft Fabric was named 8 times in DMP and 1 other category, where Segment led with 37%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business87 of 171
0%1 label
under the label threshold
Mid-market26 of 159
0%7 labels
under the label threshold
Enterprise30 of 151
0%7 labels
under the label threshold
In dmp · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Microsoft Fabric 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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data management platforms | GTM data and infrastructure | 0% | 26 of 159 | 0% | 7 | under 10 labels · led by Segment at 37% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data warehouse and reverse ETL for marketing | GTM data and infrastructure | 0% | 66 of 83 | 100% | 1 | under 10 labels · led by Hightouch at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Microsoft Fabric held within the floor in all two categories: no change cleared 11 points.
Best category · DMP · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 33 → 24 of 150
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 15 → 29 of 137
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| DMP | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 33 → 26 of 159 |
| Warehouse & ETL | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 38 → 66 of 83 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Microsoft Fabric across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Microsoft Fabric across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 1 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct1 labelNone
Paraphrase1 label1
Comparative14 labels1not counted in share
Budget-constrained2 labelsNone
Scale-constrained1 labelNone
Negative6 labelsNone
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 1 of the 2 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.
“Snowflake, Microsoft Fabric, and Databricks are the leading "modern" warehouses/lakehouses” GLM 4.7 FlashX · DMP · comparative prompt · first choice
“Choose Microsoft Fabric if your company runs on Office 365, SQL Server, and Power BI.” Qwen 3.7 Flash · DMP · comparative prompt · alternative
“An all-in-one, SaaS-style analytics platform hosted on Azure.” Gemini 3.5 Flash · DMP · comparative prompt · alternative
“Look at Snowflake, Databricks, Fabric, BigQuery.” GPT-5.4 mini · DMP · comparative 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.
“Azure Synapse / Microsoft Fabric (Proceed with caution)” Gemini 3.5 Flash · Warehouse & ETL · negative prompt · soft negative
Named alongside
The products named in the same answers as Microsoft Fabric, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Fabric was named but was not.ShowHide
Named alongside
The products named in the same answers as Microsoft Fabric, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Fabric was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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 Fabric. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 23 of the 25 answers that named Microsoft Fabric and are not a share of its labels.
Domains cited
databricks.com6
g2.com6
guideflow.com6
learn.microsoft.comYour site6
ovaledge.com6
alation.com5
blog.hubspot.com5
cdp.com5
fortegrp.com5
doit.software4
Forty-eight of the fifty-four domain citations in answers naming Microsoft Fabric came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Microsoft Fabric stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Microsoft Fabric stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 22,200 a month (“microsoft fabric”)
- AI search demand for its name, est.
- 861 a month
- Its own site
- It sits on Microsoft's site (microsoft.com), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 26 of 159 in DMP
Segment leader
37%
Segment
- First choices
- 1 across its categories
- Named in
- 25 answers
- Its own site cited
- in 23 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 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.
Follow Microsoft Fabric
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.
The company
Microsoft is the company behind Microsoft Fabric.ShowHide
The company
Microsoft is the company behind Microsoft Fabric.
ShowHideOn record
Wikidata- Website
- microsoft.com
- Headquarters
- Vancouver, Canada
- Founded
- 1975
- Employees
- about 228,000 (2024)
- Ownership
- Public, 4338 on Hong Kong Stock Exchange
- Also from Microsoft
- Azure Synapse, Bing Webmaster Tools, Microsoft 365, Microsoft 365 Copilot, Microsoft Accessibility Insights, Microsoft Ads, Microsoft Advertising, Microsoft Advertising Editor and 49 more
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
In its own words
Stated by the vendor, not checked- Positioning
- an AI-powered analytics platform that unites your data and services, including data science and data lakes
- For
- data engineers, data scientists, analysts, and business users
- Free plan or trial
- Try Microsoft Fabric free microsoft.com/en-us/microsoft-fabric
- Customers named
- Melbourne AirportIceland FoodsDener MotorsportBridgestone EMEAFlora Food GroupZeissMillimanFerguson
- Not stated on the pages read
- Price, starting price, integrations, certifications, hosting
What Microsoft Fabric's own pages state, read October 5, 2026: microsoft.com/en-us/microsoft-fabric. A claimed page can correct any of them.
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 Fabric'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 Fabric, 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 Microsoft Fabric by email, built from the raw record of the edition. It shows:
- where Microsoft Fabric 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 Microsoft Fabric, 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.