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 9 → 7 of 46
Azure Synapse Analytics
83Judge labels
0First choices
18Negative labels
13 / 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
0% in Data warehouses for mid-market buyers
Rank 8 of 26 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 22% of its 27 labels there were negative.
What the models named instead of Azure Synapse Analytics →By buyer segmentRead the same way at every buyer size.
Small business8 of 49
0%17 labels
accepted challenger
Mid-market8 of 26
0%27 labels
accepted challenger
Enterprise8 of 42
0%38 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 Azure Synapse Analytics 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% | 8 of 26 | 22% | 27 | 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, Azure Synapse Analytics 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 10 → 8 of 25
Enterprise=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 6 → 8 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 10 → 8 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 Azure Synapse Analytics 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 Azure Synapse Analytics 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 | 2 | 2 | 1 | 5 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 0 | 1 | 2 |
| Mistral Small | 0 | 1 | 1 | 1 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 2 | 1 | 3 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 2 | 1 | 0 | 3 |
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
Direct12 labelsNone
Paraphrase8 labelsNone
Comparative21 labelsNone
Budget-constrained5 labelsNone
Scale-constrained16 labelsNone
Negative21 labels1not counted in share
First choiceAlternativeMentionNegative83 labels in all, every segment counted; 0 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.
“The Microsoft Shop: Azure Synapse Analytics / Microsoft Fabric ... staying within the Microsoft ecosystem is beneficial.” Qwen 3.7 Flash · Data warehouses · paraphrase prompt · alternative
“Azure Synapse serverless at $4.60/TiB processed is the lowest serverless rate among major platforms” Claude Haiku 4.5 · Data warehouses · budget prompt · alternative
“good fit for organizations looking for a unified experience across their Microsoft stack” Mistral Small · Data warehouses · paraphrase prompt · alternative
“Azure-native / Microsoft ecosystem: Microsoft Fabric / Azure Synapse Analytics” Muse Glimmer 30B · Data warehouses · scale 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.
“Why avoid it: Building a new 3-to-5-year data architecture on Synapse dedicated pools today means you will be forced to undergo a complex migration to Fabric” Gemini 3.5 Flash · Data warehouses · negative prompt · hard negative
“Be most cautious here. This is the most frequently criticized major platform ... Synapse is the most troublesome right now” DeepSeek V4 Flash · Data warehouses · negative prompt · hard negative
“Avoid: Services with clear EOL dates (like the deprecated Azure Synapse scenarios)” GLM 4.7 FlashX · Data warehouses · negative prompt · hard negative
“can suffer from slow response times for complex queries and may require significant tuning to avoid high costs” Mistral Small · Data warehouses · negative prompt · soft negative
Named alongside
The products named in the same answers as Azure Synapse Analytics, over the 82 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure Synapse Analytics was named but was not.ShowHide
Named alongside
The products named in the same answers as Azure Synapse Analytics, over the 82 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure Synapse Analytics 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 Azure Synapse Analytics. 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 67 of the 82 answers that named Azure Synapse Analytics and are not a share of its labels.
Domains cited
ovaledge.com45
fortegrp.com40
clickhouse.com36
fivetran.com28
atlan.com25
double.cloud25
linkedin.com18
motherduck.com18
databricks.com15
scnsoft.com15
No domain is on file for Azure Synapse Analytics, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Azure Synapse Analytics stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Azure Synapse Analytics stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 1,000 a month (“azure synapse analytics”)
- AI search demand for its name, est.
- 29 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
0%
rank 8 of 26 in data warehouses
Segment leader
49%
Snowflake
- First choices
- 0 across its categories
- Named in
- 82 answers
- Its own site cited
- No site on file to match
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 Azure Synapse Analytics
What the judge wrote, as written, with how often. The vendor table decides that these count as Azure Synapse Analytics; a claim can dispute any of them.
Azure Synapse 6Microsoft Azure Synapse Analytics 5Synapse 3Microsoft Azure Synapse Analytics / Microsoft Fabric 2Azure Synapse (Microsoft) 1Azure Synapse Analytics / Microsoft Fabric 1Azure Synapse SQL Pools 1Microsoft Azure Synapse 1Synapse / Fabric 1Synapse/Fabric 1
Follow Azure Synapse Analytics
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
Azure is the company behind Azure Synapse Analytics.ShowHide
The company
Azure is the company behind Azure Synapse Analytics.
ShowHideOn record
Company records- Also from Azure
- Azure ACR, Azure AD Conditional Access, Azure AD Graph API, Azure AI Document Intelligence, Azure AI Foundry, Azure AI Gateway, Azure AI Search, Azure API Management and 79 more
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 Azure Synapse Analytics'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 Azure Synapse Analytics, 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 Azure Synapse Analytics by email, built from the raw record of the edition. It shows:
- where Azure Synapse Analytics 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 Azure Synapse Analytics, 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.