2 categories · RankedAmazon SageMaker
Amazon SageMaker is a machine learning platform from AWS · amazon.com ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Google Vertex AI is first at 20%.
Databricks Mosaic AI is first at 24%. 1 of 14 models made it the first choice when asked directly.
Databricks Mosaic AI is first at 49%.
Why models recommend it
“Start with SageMaker AI, Gemini Enterprise Agent Platform, or Azure Machine Learning if you're committed to that cloud.”GPT-6 Luna · Comparative question · first choice
“Azure Machine Learning or AWS SageMaker provide the best balance of features, scalability, and cost-effectiveness”GLM 4.7 FlashX · Direct question · first choice
“recommend a managed cloud-native platform—usually AWS SageMaker AI, Azure Machine Learning, or Google Vertex AI”Perplexity Sonar · Paraphrase question · first choice
“the "big three" cloud-native platforms (AWS, Azure, GCP) or Databricks are often the safest bets”MiniMax M2.5 · Scale-constrained question · first choice
What gives them pause
“Avoid heavy enterprise tools like Databricks or full SageMaker unless you have specific needs”Grok 4.20 · Budget-constrained question · warning
“SageMaker, Vertex AI, and Azure ML can simplify operations, but their proprietary APIs, registries, pipelines, and deployment workflows can create vendor lock-in.”Perplexity Sonar · Negative question · warning
“Heavily Integrated Cloud Platforms (e.g., AWS SageMaker, Google Vertex AI, Microsoft Azure ML): Why cautious? Strong vendor lock-in”Grok 4.20 · Negative question · warning
“May be restrictive for teams seeking open-source flexibility or cloud-agnostic options, and can be complex and costly at scale.”Llama 4 Maverick · Negative question · warning
Also on the shortlist
The products named in the same answers as Amazon SageMaker, over the 198 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 169 | 19 | Compare → | |
| 144 | 17 | View → | |
| 137 | 38 | Compare → | |
| 80 | 4 | View → | |
| 68 | 9 | Compare → | |
| 61 | 7 | Compare → | |
| 39 | 0 | View → | |
| 33 | 1 | View → | |
| 33 | 0 | View → | |
| 29 | 1 | Compare → |
What the models named instead of Amazon SageMaker →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Amazon SageMaker's own site, not checked by Gane.
- For
- organizations
- Customers named
- Toyota, Charter Communications, Lennar, Carrier, NatWest Group
- Also from Amazon
- Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora and 48 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 159 of the 198 answers that named Amazon SageMaker and are not a share of its labels.
Domains cited
298 of the 363 domain citations in answers naming Amazon SageMaker came from a third party's page. Forty-three were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 3 | 0 | 1 | 4 |
| Gemini 3.5 Flash | 1 | 3 | 1 | 1 | 6 |
| Perplexity Sonar | 1 | 3 | 0 | 1 | 5 |
| Grok 4.20 | 1 | 2 | 2 | 3 | 8 |
| Mistral Small | 0 | 2 | 3 | 1 | 6 |
| DeepSeek V4 Flash | 0 | 2 | 2 | 2 | 6 |
| Llama 4 Maverick | 0 | 1 | 1 | 1 | 3 |
| Qwen 3.7 Flash | 1 | 3 | 1 | 0 | 5 |
| Kimi K2 | 0 | 3 | 2 | 1 | 6 |
| GLM 4.7 FlashX | 1 | 2 | 1 | 1 | 5 |
| MiniMax M2.5 | 2 | 1 | 2 | 0 | 5 |
| GPT-6 Luna | 1 | 2 | 0 | 0 | 3 |
| Muse Glimmer 30B | 0 | 3 | 1 | 1 | 5 |