IT AI Index
Index Vendors › Azure Kubernetes Service · September 2026 Edition
Azure · 1 category · Ranked

Azure Kubernetes Service

176Judge labels
13First choices
30Negative 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
12% in Managed Kubernetes for enterprise buyers
Rank 5 of 48 in the mid-market standingaccepted challenger
2 of 12 models made it the first choice on the direct prompt; 13% of its 61 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In managed kubernetes · 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 Kubernetes Service 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 Kubernetes platformsCloud and infrastructure8%5 of 4813%61accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Azure Kubernetes Service 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 Azure Kubernetes Service across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502215
GPT-5.4 mini03115
Gemini 3.5 Flash04105
Perplexity Sonar03014
Grok 4.1 Fast03126
Mistral Small04105
DeepSeek V4 Flash15006
Llama 4 Maverick00202
Qwen 3.7 Flash14016
Kimi K224006
GLM 4.7 FlashX12126
MiniMax M2.504105

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
Direct30 labels5
Paraphrase32 labels5
Comparative33 labels3not counted in share
Budget-constrained24 labels2
Scale-constrained27 labels1
Negative30 labels5not counted in share
First choiceAlternativeMentionNegative176 labels in all, every segment counted; 13 of the 21 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.

“Choose GKE or AKS if you want to ensure your infrastructure can scale into large enterprise levels later” Qwen 3.7 Flash · Managed Kubernetes · direct prompt · first choice
“My Top Recommendation: Google Kubernetes Engine (GKE) or Azure Kubernetes Service (AKS)” Kimi K2 · Managed Kubernetes · paraphrase prompt · first choice
“Stick with the safe bets: GKE (best experience), AKS (best value & integration)” DeepSeek V4 Flash · Managed Kubernetes · negative prompt · first choice
“or AKS if cost minimization and Microsoft integration are top priorities” Kimi K2 · Managed Kubernetes · direct 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 hyperscaler-only solutions like EKS, GKE, or AKS unless you have strong ecosystem reasons” GLM 4.7 FlashX · Managed Kubernetes · negative prompt · hard negative
“Avoid EKS/AKS/GKE if you need multi-cloud portability” Perplexity Sonar · Managed Kubernetes · negative prompt · hard negative
“Azure AKS documents that clusters are regional and cannot span regions, so if you need active-active across regions, you need to design for that yourself” GPT-5.4 mini · Managed Kubernetes · negative prompt · soft negative
“Shortcomings include regional reliability concerns, complex networking, platform lock-in, and rising costs as clusters scale” Claude Haiku 4.5 · Managed Kubernetes · negative prompt · soft negative

Named alongside

The products named in the same answers as Azure Kubernetes Service, over the 176 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure Kubernetes Service was named but was not.
ProductSame answerTook the first choice insteadHead to head
Google Kubernetes Engine167 of 17654Not in the top three
Amazon EKS166 of 17616Not in the top three
DigitalOcean Kubernetes94 of 17641Not in the top three
Red Hat OpenShift70 of 1767Not in the top three
Rancher54 of 1761Not in the top three
Linode Kubernetes Engine52 of 17611Not in the top three
Civo39 of 1769Not in the top three
VMware Tanzu29 of 1761Not in the top three
Vultr Kubernetes Engine21 of 1760Not in the top three
Scaleway Kapsule19 of 1761Not 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 Azure Kubernetes Service. 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 144 of the 176 answers that named Azure Kubernetes Service and are not a share of its labels.

Names read as Azure Kubernetes Service

What the judge wrote, as written, with how often. The vendor table decides that these count as Azure Kubernetes Service; a claim can dispute any of them.
Azure AKS 26Azure Kubernetes Service (AKS) 17AKS 11AKS (Azure) 2Azure AKS (Azure Kubernetes Service) 1Azure AKS Standard 1Azure Kubernetes Service (AKS) with AKS Automatic 1Microsoft AKS (Azure Kubernetes Service) 1Microsoft Azure Kubernetes Service (AKS) 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 Azure Kubernetes Service'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 Kubernetes Service, 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 azure.cn 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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