# ML platforms for enterprise buyers: what AI models recommend, September 2026

IT AI Recommendation Index, September 2026 Edition. Asked as "machine learning platform" and as "MLOps platform for training and deploying models", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://it-ai-index.com/it-data/ml-platforms/enterprise/

**Standing:** Databricks leads with 26% of first choices; verdict contested. 42 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Databricks | 26% | 10% | 42 |
| 2 | Amazon SageMaker | 19% | 21% | 56 |
| 3 | Azure Machine Learning | 12% | 12% | 49 |
| 4 | Dataiku | 7% | 4% | 26 |
| 5 | Domino Data Lab | 7% | 0% | 16 |
| 6 | Google Vertex AI | 5% | 20% | 51 |
| 7 | DataRobot | 5% | 14% | 28 |
| 8 | H2O.ai | 2% | 17% | 12 |
| 9 | MLflow | 0% | 20% | 10 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: Amazon SageMaker; alternatives Databricks, Domino Data Lab, Google Vertex AI, H2O.ai
- GPT-5.4 mini: Databricks; alternatives Amazon SageMaker, Azure Machine Learning, Google Vertex AI
- Gemini 3.5 Flash: Google Vertex AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Databricks
- Perplexity Sonar: Azure Machine Learning; alternatives Databricks Mosaic AI, Gemini Enterprise Agent Platform, Google Vertex AI, IBM watsonx / Watson Machine Learning
- Grok 4.1 Fast: Databricks; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Google Vertex AI
- Mistral Small: Azure Machine Learning, Databricks; alternatives Amazon SageMaker, DataRobot, Google Vertex AI
- DeepSeek V4 Flash: Amazon SageMaker; alternatives Databricks, Dataiku, Google Vertex AI, IBM watsonx
- Llama 4 Maverick: no first choice
- Qwen 3.7 Flash: no first choice; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Databricks
- Kimi K2: Amazon SageMaker; alternatives DataRobot, Databricks Mosaic AI, Google Vertex AI, Microsoft Azure Machine Learning / AI Foundry
- GLM 4.7 FlashX: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, C3 AI, DataRobot
- MiniMax M2.5: Amazon SageMaker, Google Vertex AI; alternatives Azure Machine Learning, Databricks, Dataiku

## Sources the answers cite

62 of 72 answers came back with a source list, from 12 of 12 models. Sites named in the most answers:

- checkthat.ai: 25 answers, 34 citations
- dataiku.com: 24 answers, 26 citations
- g2.com: 21 answers, 26 citations
- learn.g2.com: 19 answers, 29 citations
- artificialintelligencecompanies.com: 16 answers, 16 citations
- truefoundry.com: 15 answers, 15 citations
- aiadvisorypractice.com: 14 answers, 20 citations
- techtarget.com: 13 answers, 15 citations

Pages named in the most answers:

- https://checkthat.ai/answers/what-are-the-best-ai-ml-platforms (20 answers)
- https://dataiku.com/blog/enterprise-machine-learning-platforms-how-to-choose (18 answers)
- https://artificialintelligencecompanies.com/best/machine-learning-platforms (16 answers)
- https://learn.g2.com/best-machine-learning-tools (15 answers)
- https://learn.g2.com/best-data-science-ml-platforms (14 answers)
- https://aiadvisorypractice.com/blog/mlops-platform-comparison-enterprise-buyers (10 answers)
- https://guptadeepak.com/tools/top-10-mlops-platforms-2026 (10 answers)
- https://thirstysprout.com/post/best-machine-learning-platforms (10 answers)
- https://veritis.com/blog/best-mlops-tools-for-enterprises (10 answers)
- https://articsledge.com/post/machine-learning-platforms-comparison-azure-ai-vs-aws-sagemaker-vs-google-vertex-ai (9 answers)

## Warned against

- Google Vertex AI: 10 of 51 labels negative. "Google Vertex AI has historically scored significantly lower... Why avoid it: It is often cited as being complex and fragmented." (GLM 4.7 FlashX, negative prompt)
- Amazon SageMaker: 12 of 56 labels negative. "Platforms to Avoid for Predictable Costs ... AWS SageMaker | Pay-per-hour for notebooks, training, inference, storage—costs explode with usage" (Kimi K2, budget prompt)
- Azure Machine Learning: 6 of 49 labels negative. "Similar usage-based model; compute costs vary dramatically" (Kimi K2, budget prompt)
- Kubeflow: 5 of 8 labels negative. "Kubeflow | Avoid for simple use cases | Unnecessary complexity and overhead" (Kimi K2, negative prompt)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.