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 46 → 52 of 70
Amazon Aurora Serverless
8Judge labels
0First choices
6Negative labels
6 / 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.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Amazon Aurora Serverless was named 3 times in Managed databases, where Amazon RDS led with 45%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business56 of 74
0%2 labels
under the label threshold
Mid-market81 of 82
0%3 labels
under the label threshold
Enterprise91 of 92
0%3 labels
under the label threshold
In managed databases · 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 Amazon Aurora Serverless 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 |
|---|---|---|---|---|---|---|---|
| Managed relational databases | Data platform | 0% | 81 of 82 | 67% | 3 | under 10 labels · led by Amazon RDS at 45% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Amazon Aurora Serverless held within the floor in its one category: no change cleared 11 points.
Best category · Managed databases · by segment
Mid-market▼−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 16 → 53 of 72
EnterprisenewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 81 of 81, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Managed databases | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 16 → 81 of 82 |
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 Amazon Aurora Serverless 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 Amazon Aurora Serverless 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 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 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 labelNone
Comparative0 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative4 labelsNone
First choiceAlternativeMentionNegative8 labels in all, every segment counted; 0 of the 0 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.
No positive label carried a quote.
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.
“Caution is advised: Avoid Serverless Auto-Scaling (e.g., Aurora Serverless v2) for high baseline workloads” MiniMax M2.5 · Managed databases · negative prompt · hard negative
“reached end of life March 31, 2025. Use the current Aurora serverless offering instead.” GPT-6 Luna · Managed databases · negative prompt · hard negative
Named alongside
The products named in the same answers as Amazon Aurora Serverless, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Aurora Serverless was named but was not.ShowHide
Named alongside
The products named in the same answers as Amazon Aurora Serverless, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Aurora Serverless 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 Amazon Aurora Serverless. 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 8 of the 8 answers that named Amazon Aurora Serverless and are not a share of its labels.
Domains cited
aws.amazon.comYour site5
it-ai-index.com5
g2.com3
learn.microsoft.com3
tech-insider.org3
azure.microsoft.com2
bytebase.com2
devtoolreviews.com2
digitalocean.com2
docs.aws.amazon.comYour site2
Twenty-two of the twenty-nine domain citations in answers naming Amazon Aurora Serverless came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Names read as Amazon Aurora Serverless
What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon Aurora Serverless; a claim can dispute any of them.
Amazon Aurora Serverless v1 1
Follow Amazon Aurora Serverless
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
Amazon is the company behind Amazon Aurora Serverless.ShowHide
The company
Amazon is the company behind Amazon Aurora Serverless.
ShowHideOn record
Company records- Also from Amazon
- Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora, Amazon Bedrock, Amazon Bedrock Guardrails and 46 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 Amazon Aurora Serverless'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 Amazon Aurora Serverless, 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 Amazon Aurora Serverless by email, built from the raw record of the edition. It shows:
- where Amazon Aurora Serverless 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 Amazon Aurora Serverless, 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.