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ML platforms · November 2026 Edition

Amazon SageMaker vs Snowflake Cortex AI

One of fourteen models named Amazon SageMaker first on the direct prompt; two named Snowflake Cortex AI. Amazon SageMaker was named by fourteen of the fourteen models and Snowflake Cortex AI by nine and Amazon SageMaker carries 67 labels and Snowflake Cortex AI 15, so the shares are not directly comparable.

Amazon SageMaker

accepted challenger

Named in two categories this edition.

Snowflake Cortex AI

accepted challenger

Named in one category this edition.

First-choice share7%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 15; printed, not drawn.
Labels6715A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amazon SageMaker reading right to left. Rank and label count are printed, not drawn.Databricks Mosaic AI was named alongside these two in twelve of the fourteen direct answers. Databricks Mosaic AI vs Amazon SageMaker · Databricks Mosaic AI vs Snowflake Cortex AI · Azure Machine Learning vs Amazon SageMaker

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 ML 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.
Amazon SageMakerFirst choices, of fourteen modelsSnowflake Cortex AI
Direct12
Paraphrase20
Comparative40
Budget-constrained003 against Amazon SageMaker
Scale-constrained10
Negative009 against Amazon SageMaker · 1 against Snowflake Cortex AI
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, Amazon SageMaker and Snowflake Cortex AI were named in the same answer twenty-nine times, of the 198 answers naming Amazon SageMaker and the 32 naming Snowflake Cortex AI. In those answers Snowflake Cortex AI took the first choice one time and Amazon SageMaker three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Amazon SageMaker and Snowflake Cortex AI stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Amazon SageMaker Snowflake Cortex AI first choice named as an alternative argued againstblank: not namedEach cell is one answer, Amazon SageMaker on the left and Snowflake Cortex AI on the right.

The direct prompt

The plain question, one answer per model, grouped by where Amazon SageMaker and Snowflake Cortex AI stood in it.

Amazon SageMaker first, Snowflake Cortex AI not the choice

1 of 14 modelsSnowflake Cortex AI was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXAmazon SageMaker, Azure Machine Learning alternatives: Databricks Mosaic AI, Google Vertex AI

Snowflake Cortex AI first, Amazon SageMaker an alternative

2 of 14 modelsAmazon SageMaker was named in the answer but not as the choice, or not at all.
Mistral SmallAzure Machine Learning, Snowflake Cortex AI alternatives: DataRobot, Databricks Mosaic AI, Google Vertex AI
MiniMax M2.5Databricks Mosaic AI, Snowflake Cortex AI alternatives: Amazon SageMaker, Azure Machine Learning, Dataiku, Domino Data Lab, Google Vertex AI

Neither was the first choice, one was named

11 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: Amazon SageMaker, Azure Machine Learning, Clearly.ai, DataRobot, Databricks Mosaic AI, Google Vertex AI, H2O AutoML
GPT-5.4 miniDatabricks Mosaic AI alternatives: Amazon SageMaker, Snowflake Cortex AI
Gemini 3.5 FlashDataiku alternatives: Amazon SageMaker, DataRobot, Databricks Mosaic AI, GCP Vertex AI, Google BigQuery ML, Snowflake Cortex AI
Perplexity SonarAzure Machine Learning alternatives: Amazon SageMaker, Databricks Mosaic AI, Dataiku
Grok 4.20Dataiku alternatives: Amazon SageMaker, Azure Machine Learning, Databricks Mosaic AI, Google Vertex AI
DeepSeek V4 FlashAzure Machine Learning alternatives: Amazon SageMaker, DataRobot, Databricks Mosaic AI, Snowflake Cortex AI
Llama 4 MaverickAzure Machine Learning alternatives: DataRobot, Google Vertex AI, IBM watsonx.ai, Snowflake Cortex AI
Qwen 3.7 FlashDataRobot alternatives: Amazon SageMaker, Azure Machine Learning, Databricks Mosaic AI
Kimi K2Azure Machine Learning, Dataiku alternatives: Amazon SageMaker
GPT-6 LunaDatabricks Mosaic AI alternatives: Azure Machine Learning, Gemini Enterprise Agent Platform, Snowflake Cortex AI
Muse Glimmer 30BAzure Machine Learning, Dataiku alternatives: Amazon SageMaker, Databricks Mosaic AI, Google Vertex AI, Snowflake Cortex AI

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
Amazon SageMaker leads by nine points.
Amazon SageMaker9%#5 of 15
Snowflake Cortex AI0%#– of 15
The full small business standing →
Mid-marketThe figures above
Amazon SageMaker leads by three points.
Amazon SageMaker7%#4 of 15
Snowflake Cortex AI3%#6 of 15
The full mid-market standing →
Enterprise
Amazon SageMaker leads by eight points.
Amazon SageMaker8%#3 of 11
Snowflake Cortex AI0%#9 of 11
The full enterprise standing →

What the models said about Amazon SageMaker

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid heavy enterprise tools like Databricks or full SageMaker unless you have specific needs” Grok 4.20 · budget prompt · hard negative
“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 prompt · soft negative
“Heavily Integrated Cloud Platforms (e.g., AWS SageMaker, Google Vertex AI, Microsoft Azure ML): Why cautious? Strong vendor lock-in” Grok 4.20 · negative prompt · soft negative
“Start with SageMaker AI, Gemini Enterprise Agent Platform, or Azure Machine Learning if you're committed to that cloud.” GPT-6 Luna · comparative prompt · first choice
“Azure Machine Learning or AWS SageMaker provide the best balance of features, scalability, and cost-effectiveness” GLM 4.7 FlashX · direct prompt · first choice
“recommend a managed cloud-native platform—usually AWS SageMaker AI, Azure Machine Learning, or Google Vertex AI” Perplexity Sonar · paraphrase prompt · first choice

What the models said about Snowflake Cortex AI

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Databricks / Snowflake ML ... compute costs scale aggressively” Gemini 3.5 Flash · negative prompt · soft negative
“I'd recommend starting with Snowflake Cortex AI or Databricks as they offer the best balance of capabilities” MiniMax M2.5 · direct prompt · first choice
“Azure Machine Learning and Snowflake Cortex AI are the top choices” Mistral Small · direct prompt · first choice
“lists Snowflake Cortex AI as a strong fit for firms already standardised on Snowflake” Muse Glimmer 30B · direct prompt · alternative
Also compared

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.