ML platforms · November 2026 Edition
Databricks Mosaic AI vs Azure Machine Learning
Three of fourteen models named Databricks Mosaic AI first on the direct prompt; seven named Azure Machine Learning. Both were named by all fourteen models and Databricks Mosaic AI carries 53 labels and Azure Machine Learning 58, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
First-choice share24%19%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 15; printed, not drawn.
Labels5358A 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.Amazon SageMaker was named alongside these two in eleven of the fourteen direct answers. Databricks Mosaic AI vs Dataiku · Databricks Mosaic AI vs Amazon SageMaker · 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 modelsAzure Machine Learning
Direct372 against Databricks Mosaic AI
Paraphrase104
Comparative01
Budget-constrained001 against Databricks Mosaic AI
Scale-constrained10
Negative002 against Databricks Mosaic AI · 7 against Azure Machine Learning
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 Azure Machine Learning were named in the same answer 133 times, of the 151 answers naming Databricks Mosaic AI and the 184 naming Azure Machine Learning. In those answers Azure Machine Learning took the first choice twenty-eight times and Databricks Mosaic AI thirty-three.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Databricks Mosaic AI and Azure Machine Learning 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 | | | | |
Databricks Mosaic AI Azure Machine Learning first choice named as an alternative argued againstblank: not namedEach cell is one answer, Databricks Mosaic AI on the left and Azure Machine Learning on the right.The direct prompt
The plain question, one answer per model, grouped by where Databricks Mosaic AI and Azure Machine Learning stood in it.
Databricks Mosaic AI first, Azure Machine Learning an alternative
3 of 14 modelsAzure Machine Learning 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
Azure Machine Learning first, Databricks Mosaic AI an alternative
7 of 14 modelsDatabricks Mosaic AI was named in the answer but not as the choice, or not at all.Perplexity SonarAzure Machine Learning alternatives: Amazon SageMaker, Databricks Mosaic AI, Dataiku
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
Llama 4 MaverickAzure Machine Learning alternatives: DataRobot, Google Vertex AI, IBM watsonx.ai, Snowflake Cortex AI
Kimi K2Azure Machine Learning, Dataiku alternatives: Amazon SageMaker
GLM 4.7 FlashXAmazon SageMaker, Azure Machine Learning alternatives: Databricks Mosaic AI, Google Vertex AI
Muse Glimmer 30BAzure Machine Learning, Dataiku alternatives: Amazon SageMaker, Databricks Mosaic AI, Google Vertex AI, Snowflake Cortex AI
Neither was the first choice, one was named
4 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
Grok 4.20Dataiku alternatives: Amazon SageMaker, Azure Machine Learning, Databricks Mosaic AI, Google Vertex AI
Qwen 3.7 FlashDataRobot alternatives: Amazon SageMaker, Azure Machine Learning, Databricks Mosaic 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
Azure Machine Learning leads by eleven points.
Azure Machine Learning11%#2 of 15Databricks Mosaic AI0%#14 of 15Mid-marketThe figures above
The order flips: Databricks Mosaic AI leads at mid-market.
Databricks Mosaic AI24%#1 of 15Azure Machine Learning19%#2 of 15Enterprise
Databricks Mosaic AI leads by twenty points.
Databricks Mosaic AI49%#1 of 11Azure Machine Learning29%#2 of 11What 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 Azure Machine Learning
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Azure ML can be compromised through device code phishing, where attackers steal access tokens and exfiltrate models stored in the platform” Muse Glimmer 30B · negative prompt · soft negative
“SageMaker, Vertex AI, and Azure ML can simplify operations, but their proprietary APIs... can create vendor lock-in.” Perplexity Sonar · negative prompt · soft negative
“compute costs can vary dramatically. It may not be suitable unless you have the necessary expertise and budget.” Mistral Small · negative prompt · soft negative
“For most mid-market B2B companies, Azure Machine Learning or AWS SageMaker provide the best balance of features, scalability, and cost-effectiveness.” GLM 4.7 FlashX · direct prompt · first choice
“Azure Machine Learning currently offers the best balance of cost flexibility, ease of use, AutoML capabilities, and enterprise integration” DeepSeek V4 Flash · direct prompt · first choice
“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
Also compared
Databricks Mosaic AI vs DataikuDatabricks Mosaic AI vs Amazon SageMakerDatabricks Mosaic AI vs MLflowDatabricks Mosaic AI vs Snowflake Cortex AIDatabricks Mosaic AI vs PyTorchDatabricks Mosaic AI vs TensorFlowAzure Machine Learning vs DataikuAzure Machine Learning vs Amazon SageMakerAzure Machine Learning vs MLflowAzure Machine Learning vs Snowflake Cortex AIAzure Machine Learning vs PyTorchAzure Machine Learning vs TensorFlowAll twenty-eight head-to-head pages and the full ML platforms standing
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.