ML platforms · October 2026 Edition
Amazon SageMaker vs TensorFlow
One of fourteen models named Amazon SageMaker first on the direct prompt; zero named TensorFlow. Amazon SageMaker was named by fourteen of the fourteen models and TensorFlow by eight and Amazon SageMaker carries 51 labels and TensorFlow 10, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share11%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 13; printed, not drawn.
Labels5110A 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 ten of the fourteen direct answers. Azure Machine Learning vs Amazon SageMaker · Azure Machine Learning vs TensorFlow · Databricks Mosaic AI 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 modelsTensorFlow
Direct10
Paraphrase402 against Amazon SageMaker
Comparative20
Budget-constrained113 against Amazon SageMaker
Scale-constrained00
Negative008 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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Amazon SageMaker and TensorFlow 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 4.1 Fast | | | | | | |
| 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 TensorFlow first choice named as an alternative argued againstblank: not namedEach cell is one answer, Amazon SageMaker on the left and TensorFlow on the right.The direct prompt
The plain question, one answer per model, grouped by where Amazon SageMaker and TensorFlow stood in it.
Amazon SageMaker first, TensorFlow not the choice
1 of 14 modelsTensorFlow was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Amazon SageMaker, Databricks Mosaic AI alternatives: Azure Machine Learning
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniDatabricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
Grok 4.1 FastAzure Machine Learning alternatives: Amazon SageMaker, DataRobot, Databricks Mosaic AI, Google Vertex AI, H2O.ai
Mistral SmallDatabricks Mosaic AI, Google Vertex AI alternatives: Amazon SageMaker
DeepSeek V4 FlashAzure Machine Learning alternatives: Amazon SageMaker, DataRobot, Databricks Mosaic AI, Dataiku, Google Vertex AI
Kimi K2Azure Machine Learning, Databricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
MiniMax M2.5DataRobot, Databricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
Muse Glimmer 30BAzure Machine Learning alternatives: Amazon SageMaker, Databricks Mosaic AI
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashPecan AI alternatives: Akkio, Azure Machine Learning, Dataiku, Google BigQuery ML, Snowflake Cortex AI
Perplexity SonarAzure Machine Learning, Google Vertex AI alternatives: Amazon Forecast, DataRobot
Llama 4 Maverickno first choice
Qwen 3.7 FlashDataRobot alternatives: Azure Machine Learning, Databricks Mosaic AI, HubSpot Spot Intelligence, Salesforce Einstein, Snowflake Cortex AI
GLM 4.7 FlashXno first choice
GPT-6 LunaDatabricks Mosaic AI alternatives: Azure Machine Learning, Google Vertex AI, SageMaker 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 five points.
Amazon SageMaker8%#3 of 14TensorFlow3%#7 of 14Mid-marketThe figures above
Amazon SageMaker leads by nine points.
Amazon SageMaker11%#3 of 13TensorFlow2%#8 of 13Enterprise
Amazon SageMaker leads by thirteen points.
Amazon SageMaker13%#2 of 10TensorFlow0%#– of 10What 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.
“Some AI models recommend avoiding this platform if you are a small team, a startup, or just starting out.” Llama 4 Maverick · negative prompt · hard negative
“models explicitly advising to avoid it unless you have significant resources or a large team” Mistral Small · negative prompt · hard negative
“Avoid enterprise-scale platforms like SageMaker, Dataiku, or DataRobot — they're overkill” DeepSeek V4 Flash · negative prompt · hard negative
“AWS SageMaker and Azure Machine Learning are the most practical managed choices for companies that are already standardized on one cloud.” Muse Glimmer 30B · paraphrase prompt · first choice
“Market Share: ~34% (leader) ... Primary Strength: Broadest ML feature set and deepest AWS integration” Kimi K2 · comparative prompt · first choice
“I'd usually recommend Amazon SageMaker or Google Vertex AI as the best default choices” GPT-5.4 mini · paraphrase prompt · first choice
What the models said about TensorFlow
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“start with open-source tools like TensorFlow or PyTorch combined with Google Colab” Kimi K2 · budget prompt · first choice
“For flexibility: Consider open-source options (TensorFlow, PyTorch) with proper security management” MiniMax M2.5 · negative prompt · alternative
“especially scikit-learn, XGBoost, and TensorFlow—because the software itself is free” Perplexity Sonar · budget prompt · alternative
Also compared
Azure Machine Learning vs Amazon SageMakerAzure Machine Learning vs TensorFlowDatabricks Mosaic AI vs Amazon SageMakerDatabricks Mosaic AI vs TensorFlowAmazon SageMaker vs Google Vertex AIAmazon SageMaker vs Google ColabAmazon SageMaker vs MLflowAmazon SageMaker vs DataRobotGoogle Vertex AI vs TensorFlowGoogle Colab vs TensorFlowMLflow vs TensorFlowDataRobot 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.