Amazon · 1 category · RankedAmazon SageMaker
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| ML platforms | Data platform | 10% | 3 of 99 | 29% | 49 | criticized challenger |
Movement
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 2 | 0 | 3 |
| GPT-5.4 mini | 0 | 3 | 0 | 1 | 4 |
| Gemini 3.5 Flash | 0 | 4 | 0 | 2 | 6 |
| Perplexity Sonar | 0 | 2 | 0 | 1 | 3 |
| Grok 4.1 Fast | 1 | 0 | 3 | 2 | 6 |
| Mistral Small | 1 | 1 | 1 | 1 | 4 |
| DeepSeek V4 Flash | 2 | 2 | 0 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 2 | 1 | 3 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 3 | 5 |
| Kimi K2 | 1 | 1 | 2 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 1 | 3 |
| MiniMax M2.5 | 1 | 1 | 0 | 1 | 3 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“I'd recommend starting with your existing cloud provider—most often Amazon SageMaker (if on AWS), Google Vertex AI (GCP), or Azure Machine Learning (Azure)” Grok 4.1 Fast · ML platforms · paraphrase prompt · first choice
“I'd usually recommend starting with the managed ML service on whichever cloud you already use (SageMaker, Azure ML, or Vertex AI)” DeepSeek V4 Flash · ML platforms · direct prompt · first choice
“Amazon SageMaker and Databricks are the top choices due to their scalability, integration, and comprehensive feature sets.” Mistral Small · ML platforms · paraphrase prompt · first choice
“Broadest feature set, deep AWS integration ... Best for complex enterprise ML at scale. ~34% market share.” DeepSeek V4 Flash · ML platforms · comparative 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 these platforms if you are a small team, a startup, or just starting out.” GLM 4.7 FlashX · ML platforms · negative prompt · hard negative
“SageMaker is notoriously complex, has a steep learning curve, and often drains mid-market budgets through hidden configuration costs” Gemini 3.5 Flash · ML platforms · direct prompt · soft negative
“may not be suitable for teams that prioritize open-source flexibility or operate in a multi-cloud environment due to vendor lock-in” Llama 4 Maverick · ML platforms · negative prompt · soft negative
“Cloud giants (SageMaker, Vertex AI, Azure ML): Secure but watch costs, lock-in, and misconfigs (e.g., exposed creds in Azure).” Grok 4.1 Fast · ML platforms · negative prompt · soft negative
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 124 of the 152 answers that named Amazon SageMaker and are not a share of its labels.
Domains cited
321 of the 321 domain citations in answers naming Amazon SageMaker came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Names read as Amazon SageMaker
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