IT AI Index
Index Vendors › Amazon Aurora · September 2026 Edition
Amazon · 1 category · Ranked

Amazon Aurora

85Judge labels
24First choices
21Negative labels
12 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
30% in Managed databases for enterprise buyers
Rank 3 of 73 in the mid-market standingaccepted challenger
4 of 12 models made it the first choice on the direct prompt; 17% of its 30 labels there were negative.
By buyer segmentStrongest at enterprise.
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 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Managed relational databasesData platform11%3 of 7317%30accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Amazon Aurora yet. 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 Amazon Aurora across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash21014
Perplexity Sonar01102
Grok 4.1 Fast03014
Mistral Small00202
DeepSeek V4 Flash21205
Llama 4 Maverick10001
Qwen 3.7 Flash11024
Kimi K202002
GLM 4.7 FlashX01113
MiniMax M2.511002

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
Direct15 labels11
Paraphrase14 labels7
Comparative17 labels5not counted in share
Budget-constrained11 labels5
Scale-constrained10 labels1
Negative18 labels1not counted in share
First choiceAlternativeMentionNegative85 labels in all, every segment counted; 24 of the 30 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 Corporate Standard: AWS RDS / Amazon Aurora ... Amazon Aurora (preferred over standard RDS for higher performance and scalability)” Qwen 3.7 Flash · Managed databases · direct prompt · first choice
“If you are on AWS and want a zero-friction, incredibly robust infrastructure: Choose AWS Aurora PostgreSQL.” Gemini 3.5 Flash · Managed databases · direct prompt · first choice
“Amazon Aurora PostgreSQL is the industry standard that will grow with you from $10M to $100M+ in revenue” Gemini 3.5 Flash · Managed databases · paraphrase prompt · first choice
“Prefer open-core/platform-agnostic managed services: AWS Aurora PostgreSQL/MySQL (if you're already on AWS)” DeepSeek V4 Flash · Managed databases · negative 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.

“Avoid v2 for hobby projects, staging/dev environments, or low-traffic applications.” Gemini 3.5 Flash · Managed databases · negative prompt · hard negative
“While Aurora is SQL-compatible, its underlying storage and protocol layers are proprietary to AWS. Migrating a complex, highly optimized Aurora schema ... can be difficult and expensive.” GLM 4.7 FlashX · Managed databases · negative prompt · soft negative
“*Proprietary (e.g., Amazon Aurora, Cosmos DB):* Faster performance for complex workloads, but extremely difficult and expensive to migrate away from” Qwen 3.7 Flash · Managed databases · scale prompt · soft negative
“Highest complaints on escalating costs (93% markup vs. raw EC2; doubles with HA), vendor lock-in, no root access” Grok 4.1 Fast · Managed databases · negative prompt · soft negative

Named alongside

The products named in the same answers as Amazon Aurora, over the 81 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Aurora was named but was not.
ProductSame answerTook the first choice insteadHead to head
Azure SQL Database56 of 812Not in the top three
Neon23 of 813Not in the top three
Supabase22 of 813Not in the top three
AlloyDB for PostgreSQL21 of 810Not in the top three
PlanetScale20 of 811Not in the top three
Oracle Autonomous Database16 of 810Not in the top three
DigitalOcean Managed Databases14 of 815Not in the top three
CockroachDB14 of 810Not 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 Amazon Aurora. 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 58 of the 81 answers that named Amazon Aurora and are not a share of its labels.

Domains cited

cloudexpat.com29
aws.amazon.com22
northflank.com20
tech-insider.org20
g2.com19
gitnux.org17
worldmetrics.org17
toolradar.com15
cloud.google.com14
docs.aws.amazon.com14

187 of the 187 domain citations in answers naming Amazon Aurora came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Amazon Aurora

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon Aurora; a claim can dispute any of them.
Aurora 6AWS Aurora 4Amazon Aurora PostgreSQL 3Amazon Aurora Serverless v2 2AWS Aurora PostgreSQL 1AWS Aurora PostgreSQL/MySQL 1AWS RDS / Amazon Aurora 1Aurora Serverless 1
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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'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, 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 amazonaurora.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.

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