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Managed Kubernetes platforms · November 2026 Edition
DigitalOcean Kubernetes vs Azure Kubernetes Service
Zero of fourteen models named DigitalOcean Kubernetes first on the direct prompt; one named Azure Kubernetes Service. Both were named by all fourteen models and DigitalOcean Kubernetes carries 42 labels and Azure Kubernetes Service 66, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share24%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 12; printed, not drawn.
Labels4266A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, DigitalOcean Kubernetes reading right to left. Rank and label count are printed, not drawn.Google Kubernetes Engine was named alongside these two in twelve of the fourteen direct answers. Google Kubernetes Engine vs DigitalOcean Kubernetes · Google Kubernetes Engine vs Azure Kubernetes Service · DigitalOcean Kubernetes vs Amazon EKS
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the managed kubernetes platforms page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DigitalOcean KubernetesFirst choices, of fourteen modelsAzure Kubernetes Service
Direct01
Paraphrase02
Comparative00
Budget-constrained1104 against Azure Kubernetes Service
Scale-constrained01
Negative015 against DigitalOcean Kubernetes · 9 against Azure Kubernetes Service
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, DigitalOcean Kubernetes and Azure Kubernetes Service were named in the same answer ninety times, of the 117 answers naming DigitalOcean Kubernetes and the 200 naming Azure Kubernetes Service. In those answers Azure Kubernetes Service took the first choice four times and DigitalOcean Kubernetes forty.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where DigitalOcean Kubernetes and Azure Kubernetes Service stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | | |
| Grok 4.20 | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | | |||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | | | | |
DigitalOcean Kubernetes Azure Kubernetes Service first choice named as an alternative argued againstblank: not namedEach cell is one answer, DigitalOcean Kubernetes on the left and Azure Kubernetes Service on the right.The direct prompt
The plain question, one answer per model, grouped by where DigitalOcean Kubernetes and Azure Kubernetes Service stood in it.
Azure Kubernetes Service first, DigitalOcean Kubernetes not the choice
1 of 14 modelsDigitalOcean Kubernetes was named in the answer but not as the choice, or not at all.GLM 4.7 FlashXAzure Kubernetes Service alternatives: Amazon EKS, Google Kubernetes Engine, Rancher
Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, Porter, Qovery
Perplexity SonarGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes
Grok 4.20Google Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, Red Hat OpenShift
Mistral SmallGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, Northflank, Red Hat OpenShift
DeepSeek V4 FlashGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes
Llama 4 MaverickGoogle Kubernetes Engine alternatives: Amazon EKS, Atmosly, DigitalOcean Kubernetes
Qwen 3.7 FlashGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, Rancher, Red Hat OpenShift
Kimi K2Google Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service
Muse Glimmer 30BGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, Mirantis Kubernetes Engine, Rancher, Red Hat OpenShift, VMware Tanzu
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice
GPT-5.4 miniGoogle Kubernetes Engine alternatives: Amazon EKS
MiniMax M2.5no first choice
GPT-6 LunaGoogle Kubernetes Engine alternatives: AKS Automatic, Amazon EKS
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
DigitalOcean Kubernetes leads by sixty-two points.
DigitalOcean Kubernetes62%#1 of 14Azure Kubernetes Service0%#5 of 14Mid-marketThe figures above
DigitalOcean Kubernetes leads by fifteen points.
DigitalOcean Kubernetes24%#2 of 12Azure Kubernetes Service9%#3 of 12Enterprise
The order flips: Azure Kubernetes Service leads at enterprise.
Azure Kubernetes Service9%#3 of 8DigitalOcean Kubernetes0%#– of 8What the models said about DigitalOcean Kubernetes
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“it lacks the extensive ecosystem of tools and support channels of AWS/GCP... not suitable for mission-critical enterprise applications” GLM 4.7 FlashX · negative prompt · soft negative
“Be cautious if you: Need advanced networking features... Be most wary of smaller clouds with narrow version support” Kimi K2 · negative prompt · soft negative
“DOKS documents those limits and warns against modifying its managed components.” GPT-6 Luna · negative prompt · soft negative
“the most cited practical picks are DigitalOcean Kubernetes for a managed, simple start, and Linode LKE for a free control plane with price stability” Muse Glimmer 30B · budget prompt · first choice
“The best managed Kubernetes platform for a company with a limited budget is DigitalOcean Kubernetes (DOKS) or Linode Kubernetes Engine (LKE).” Llama 4 Maverick · budget prompt · first choice
“For strictest budget, DigitalOcean Kubernetes offers the best value with zero control plane costs and affordable node pricing.” MiniMax M2.5 · budget prompt · first choice
What the models said about Azure Kubernetes Service
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid (The "Expensive" Options) ... AWS EKS, Google GKE, and Azure AKS ... budget killers” Qwen 3.7 Flash · budget prompt · hard negative
“I would never ever recommend Azure to literally any organization no matter the size.” Muse Glimmer 30B · negative prompt · hard negative
“Often described as "mostly bad" experiences, especially for non-Azure-native teams.” Grok 4.20 · negative prompt · hard negative
“start with GKE Autopilot (highest level of management) or AKS (if Microsoft-aligned)” Grok 4.20 · scale prompt · first choice
“For production at scale: Stick with GKE or AKS unless you have strong reasons to prefer AWS.” DeepSeek V4 Flash · negative prompt · first choice
“### 1. Azure Kubernetes Service (AKS) — Best for Microsoft-centric organizations” GLM 4.7 FlashX · paraphrase prompt · first choice
Also compared
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Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.