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ML platforms · November 2026 Edition

Databricks Mosaic AI vs Amazon SageMaker

Three of fourteen models named Databricks Mosaic AI first on the direct prompt; one named Amazon SageMaker. Both were named by all fourteen models and Databricks Mosaic AI carries 53 labels and Amazon SageMaker 67, so the shares are not directly comparable.

Databricks Mosaic AI

accepted challenger

Named in one category this edition.

Amazon SageMaker

accepted challenger

Named in two categories this edition.

First-choice share24%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 15; printed, not drawn.
Labels5367A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Databricks Mosaic AI reading right to left. Rank and label count are printed, not drawn.Azure Machine Learning was named alongside these two in twelve of the fourteen direct answers. Databricks Mosaic AI vs Azure Machine Learning · Databricks Mosaic AI vs Dataiku · Databricks Mosaic AI vs MLflow

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.
Databricks Mosaic AIFirst choices, of fourteen modelsAmazon SageMaker
Direct312 against Databricks Mosaic AI
Paraphrase102
Comparative04
Budget-constrained001 against Databricks Mosaic AI · 3 against Amazon SageMaker
Scale-constrained11
Negative002 against Databricks Mosaic AI · 9 against Amazon SageMaker
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, Databricks Mosaic AI and Amazon SageMaker were named in the same answer 137 times, of the 151 answers naming Databricks Mosaic AI and the 198 naming Amazon SageMaker. In those answers Amazon SageMaker took the first choice seventeen times and Databricks Mosaic AI thirty-eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Databricks Mosaic AI and Amazon SageMaker 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
Databricks Mosaic AI Amazon SageMaker first choice named as an alternative argued againstblank: not namedEach cell is one answer, Databricks Mosaic AI on the left and Amazon SageMaker on the right.

The direct prompt

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

Databricks Mosaic AI first, Amazon SageMaker an alternative

3 of 14 modelsAmazon SageMaker was named in the answer but not as the choice, or not at all.
GPT-5.4 miniDatabricks Mosaic AI alternatives: Amazon SageMaker, Snowflake Cortex AI
MiniMax M2.5Databricks Mosaic AI, Snowflake Cortex AI alternatives: Amazon SageMaker, Azure Machine Learning, Dataiku, Domino Data Lab, Google Vertex AI
GPT-6 LunaDatabricks Mosaic AI alternatives: Azure Machine Learning, Gemini Enterprise Agent Platform, Snowflake Cortex AI

Amazon SageMaker first, Databricks Mosaic AI an alternative

1 of 14 modelsDatabricks Mosaic 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

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.
Claude Haiku 4.5no first choice alternatives: Amazon SageMaker, Azure Machine Learning, Clearly.ai, DataRobot, Databricks Mosaic AI, Google Vertex AI, H2O AutoML
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
Mistral SmallAzure Machine Learning, Snowflake Cortex AI alternatives: DataRobot, Databricks Mosaic AI, Google Vertex AI
DeepSeek V4 FlashAzure Machine Learning alternatives: Amazon SageMaker, DataRobot, Databricks Mosaic 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
Muse Glimmer 30BAzure Machine Learning, Dataiku alternatives: Amazon SageMaker, Databricks Mosaic AI, Google Vertex AI, Snowflake Cortex AI

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickAzure Machine Learning alternatives: DataRobot, Google Vertex AI, IBM watsonx.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
Databricks Mosaic AI0%#14 of 15
The full small business standing →
Mid-marketThe figures above
The order flips: Databricks Mosaic AI leads at mid-market.
Databricks Mosaic AI24%#1 of 15
Amazon SageMaker7%#4 of 15
The full mid-market standing →
Enterprise
Databricks Mosaic AI leads by forty-one points.
Databricks Mosaic AI49%#1 of 11
Amazon SageMaker8%#3 of 11
The full enterprise standing →

What the models said about Databricks Mosaic AI

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
“Why to be Cautious: These platforms often have steep learning curves and high entry costs.” Qwen 3.7 Flash · negative prompt · soft negative
“without the complexity and cost of full enterprise solutions like Databricks or Palantir” Kimi K2 · direct prompt · soft negative
“Leaders: Databricks (Unity Catalog, MLflow)... the "big three" cloud-native platforms (AWS, Azure, GCP) or Databricks are often the safest bets” MiniMax M2.5 · scale prompt · first choice
“choose Databricks MLflow/Mosaic AI or a pure MLflow stack if you prioritize vendor neutrality, data-lake integration and lower long-term cost” Muse Glimmer 30B · paraphrase prompt · first choice
“Databricks (MLflow / Mosaic AI) - Best for organizations unifying data engineering and machine learning on a single lakehouse.” Llama 4 Maverick · paraphrase prompt · first choice

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
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.