Small business▼−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 5 → 28 of 46
Microsoft Fabric Data Warehouse
51Judge labels
1First choices
9Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
2% in Data warehouses for enterprise buyers
Rank 6 of 26 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 13% of its 23 labels there were negative.
What the models named instead of Microsoft Fabric Data Warehouse →By buyer segmentRead the same way at every buyer size.
Small business11 of 49
0%9 labels
under the label threshold
Mid-market6 of 26
0%23 labels
accepted challenger
Enterprise4 of 42
2%19 labels
accepted challenger
In data warehouses · 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 Data Warehouse 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 warehouses | Data platform | 0% | 6 of 26 | 13% | 23 | accepted challenger | =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 Data Warehouse held within the floor in its one category: no change cleared 11 points.
Best category · Data warehouses · 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 9 → 6 of 25
Enterprise▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 5 → 4 of 37
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Data warehouses | 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 9 → 6 of 26 |
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 Data Warehouse 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 Data Warehouse 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 | 1 | 1 | 2 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 3 | 1 | 0 | 4 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 1 | 1 | 2 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
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
Direct7 labelsNone
Paraphrase5 labelsNone
Comparative16 labelsNone
Budget-constrained4 labels1
Scale-constrained6 labelsNone
Negative13 labelsNone
First choiceAlternativeMentionNegative51 labels in all, every segment counted; 1 of the 1 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.
“If your B2B company runs entirely on Office 365, Azure, and relies heavily on Power BI... Microsoft Fabric is the clear winner.” Gemini 3.5 Flash · Data warehouses · paraphrase prompt · alternative
“The Microsoft Shop: Azure Synapse Analytics / Microsoft Fabric ... staying within the Microsoft ecosystem is beneficial.” Qwen 3.7 Flash · Data warehouses · paraphrase prompt · alternative
“best if you are heavily invested in the Microsoft stack and want a fit for midsize warehouse scenarios” Perplexity Sonar · Data warehouses · direct prompt · alternative
“The alternative: Look directly at Microsoft Fabric (Data Warehouse/Lakehouse) or Snowflake.” Gemini 3.5 Flash · Data warehouses · negative 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.
“Fabric doesn't support every T-SQL statement, and its warehouse connections require items to be in the same region.” GPT-6 Luna · Data warehouses · negative prompt · soft negative
“a heavy Spark job can throttle SQL and Power BI workloads, requiring close monitoring of capacity utilization” Claude Haiku 4.5 · Data warehouses · negative prompt · soft negative
“rolled into Microsoft Fabric, which is a broader (some say more chaotic) platform” DeepSeek V4 Flash · Data warehouses · negative prompt · soft negative
Named alongside
The products named in the same answers as Microsoft Fabric Data Warehouse, over the 51 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Fabric Data Warehouse was named but was not.ShowHide
Named alongside
The products named in the same answers as Microsoft Fabric Data Warehouse, over the 51 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Fabric Data Warehouse 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 Data Warehouse. 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 49 of the 51 answers that named Microsoft Fabric Data Warehouse and are not a share of its labels.
Domains cited
fortegrp.com29
ovaledge.com26
clickhouse.com23
motherduck.com17
fivetran.com15
learn.microsoft.comYour site14
tinybird.co12
docs.aws.amazon.com11
atlan.com10
docs.cloud.google.com10
153 of the 167 domain citations in answers naming Microsoft Fabric Data Warehouse came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Microsoft Fabric Data Warehouse stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Microsoft Fabric Data Warehouse stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 210 a month (“microsoft fabric data warehouse”)
- AI search demand for its name, est.
- 9 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 6 of 26 in data warehouses
Segment leader
49%
Snowflake
- First choices
- 1 across its categories
- Named in
- 51 answers
- Its own site cited
- in 49 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.
Names read as Microsoft Fabric Data Warehouse
What the judge wrote, as written, with how often. The vendor table decides that these count as Microsoft Fabric Data Warehouse; a claim can dispute any of them.
Microsoft Fabric 13Microsoft Azure Synapse Analytics / Microsoft Fabric 2Microsoft Fabric Warehouse 2Azure SQL / Microsoft Fabric 1Azure Synapse Analytics / Microsoft Fabric 1Microsoft Fabric / Synapse Analytics 1Synapse / Fabric 1Synapse/Fabric 1
Follow Microsoft Fabric Data Warehouse
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 Data Warehouse.ShowHide
The company
Microsoft is the company behind Microsoft Fabric Data Warehouse.
ShowHideOn record
Company records- Also from Microsoft
- Microsoft 365, Microsoft 365 Admin Center, Microsoft 365 Administration, Microsoft 365 Backup, Microsoft 365 Compliance Center, Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Microsoft 365 DSC and 164 more
In its own words
Stated by the vendor, not checked- Positioning
- Независимо мащабиране на изчисления и съхранение с водеща в индустрията производителност на SQL.
- Free plan or trial
- Probar Microsoft Fabric gratis microsoft.com/es-es/microsoft-fabric
- Customers named
- Melbournen lentoasemaIceland FoodsDener MotorsportBridgestone EMEAFlora Food Group
- Not stated on the pages read
- Who it is for, price, starting price, integrations, certifications, hosting
What Microsoft Fabric Data Warehouse's own pages state, read October 5, 2026: microsoft.com/bg-bg/microsoft-fabric, microsoft.com/de-de/microsoft-fabric, microsoft.com/es-es/microsoft-fabric, microsoft.com/fi-fi/microsoft-fabric, microsoft.com/fr-fr/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 Data Warehouse'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 Data Warehouse, 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 Data Warehouse by email, built from the raw record of the edition. It shows:
- where Microsoft Fabric Data Warehouse 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 Data Warehouse, 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.