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

Gane Index, November 2026 Edition. Asked as "machine learning platform" and as "MLOps platform for training and deploying models", six framings each, to fourteen models with search on, on behalf of an enterprise B2B company. Page: https://www.gane.ai/index/it/it-data/ml-platforms/2026-11/enterprise

**Standing:** Databricks Mosaic AI leads with 49% of first choices; verdict clear leader. 49 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| Rank | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | [Databricks Mosaic AI](https://www.gane.ai/index/it/vendors/databricks-mosaic-ai/index.md) | 49% | 5% | 61 |
| 2 | [Azure Machine Learning](https://www.gane.ai/index/it/vendors/azure-machine-learning/index.md) | 29% | 17% | 66 |
| 3 | [Amazon SageMaker](https://www.gane.ai/index/it/vendors/amazon-sagemaker/index.md) | 8% | 25% | 64 |
| 4 | [Dataiku](https://www.gane.ai/index/it/vendors/dataiku/index.md) | 6% | 3% | 32 |
| 5 | [Google Vertex AI](https://www.gane.ai/index/it/vendors/google-vertex-ai/index.md) | 4% | 29% | 51 |
| 6 | [Domino Data Lab](https://www.gane.ai/index/it/vendors/domino-data-lab/index.md) | 4% | 6% | 16 |
| 7 | [DataRobot](https://www.gane.ai/index/it/vendors/datarobot/index.md) | 0% | 6% | 33 |
| 8 | [IBM watsonx.ai](https://www.gane.ai/index/it/vendors/ibm-watsonx-ai/index.md) | 0% | 0% | 10 |
| 11 | [Snowflake Cortex AI](https://www.gane.ai/index/it/vendors/snowflake-cortex-ai/index.md) | 0% | 23% | 13 |
| 88 | [MLflow](https://www.gane.ai/index/it/vendors/mlflow/index.md) | 0% | 50% | 12 |
| 89 | [Kubeflow](https://www.gane.ai/index/it/vendors/kubeflow/index.md) | 0% | 50% | 12 |

Rank is by share of first choices among all 90 products named; products with the same share are tied, and the order among them carries no meaning. The table lists those with at least 10 labels.

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

- Claude Haiku 4.5: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Cloudera, DataRobot
- GPT-5.4 mini: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Google Vertex AI
- Gemini 3.5 Flash: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Dataiku
- Perplexity Sonar: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Google Vertex AI
- Grok 4.20: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Google Vertex AI
- Mistral Small: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning
- DeepSeek V4 Flash: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Dataiku
- Llama 4 Maverick: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning
- Qwen 3.7 Flash: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Google Vertex AI
- Kimi K2: Databricks Mosaic AI; alternatives Amazon Bedrock, Amazon SageMaker, Dataiku
- GLM 4.7 FlashX: Amazon SageMaker, Azure Machine Learning, Google Vertex AI; alternatives DataRobot, Databricks Mosaic AI, Dataiku
- MiniMax M2.5: Azure Machine Learning, Databricks Mosaic AI; alternatives Alteryx Machine Learning, Dataiku, SAS Viya
- GPT-6 Luna: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Google Cloud's Gemini Enterprise Agent Platform
- Muse Glimmer 30B: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Dataiku

## Sources the answers cite

72 of 84 answers came back with a source list, from 14 of 14 models. Sites named in the most answers:

- ciopages.com: 33 answers, 38 citations
- g2.com: 25 answers, 36 citations
- dataiku.com: 19 answers, 22 citations
- gane.ai/index: 15 answers, 17 citations
- prompts.ai: 14 answers, 17 citations
- eweek.com: 14 answers, 14 citations
- azure.microsoft.com: 13 answers, 24 citations
- linkedin.com: 13 answers, 18 citations

Pages named in the most answers:

- https://ciopages.com/buyer-guides/ai-ml-platform (24 answers)
- https://gane.ai/index/it/it-data/ml-platforms/enterprise (15 answers)
- https://ciopages.com/buyer-guides/mlops-platform (13 answers)
- https://dataiku.com/blog/enterprise-machine-learning-platforms-how-to-choose (11 answers)
- https://prompts.ai/blog/what-machine-learning-platforms-are-best-for-enterprise.html (11 answers)
- https://spaceotechnologies.com/blog/machine-learning-platforms (9 answers)
- https://eweek.com/artificial-intelligence/machine-learning-solutions (8 answers)
- https://g2.com/categories/machine-learning/enterprise (8 answers)
- https://g2.com/categories/mlops-platforms/enterprise (8 answers)
- https://guptadeepak.com/tools/top-10-mlops-platforms-2026 (8 answers)

## Warned against

- Amazon SageMaker: 16 of 64 labels negative. "What to Avoid for Cost Predictability | Amazon SageMaker | Usage-based ... High" (DeepSeek V4 Flash, budget prompt)
- Google Vertex AI: 15 of 51 labels negative. "What I'd Avoid or Delay: Google Vertex AI: While clean and user-friendly, it lags in enterprise governance features" (Kimi K2, paraphrase prompt)
- Azure Machine Learning: 11 of 66 labels negative. "While AWS SageMaker, Azure ML, and Google Vertex AI are excellent, becoming entirely dependent on one means that if your pricing changes or you need to migrate workloads to a competitor, you face massive technical debt." (Qwen 3.7 Flash, negative prompt)
- Kubeflow: 6 of 12 labels negative. "Pure open-source (Kubeflow/MLflow self-hosted): At "thousands of employees" scale, the operational overhead of self-managing these becomes prohibitive" (Kimi K2, paraphrase prompt)

## Movement since October 2026

Floor: 11 points of share, measured on the calibration repeat.
Same leader: Databricks Mosaic AI at 49%.

- Azure Machine Learning: 11% to 29%, +18. Cleared the floor by 7 points · rank 3 → 2 of 90.
- DataRobot: 7% to 0%, −7. Inside the floor by 4 points · rank 6 → 7 of 90.
- Databricks Mosaic AI: 44% to 49%, +5. Inside the floor by 6 points · rank 1 of 90, unchanged.
- Amazon SageMaker: 13% to 8%, −5. Inside the floor by 6 points · rank 2 → 3 of 90.
- Domino Data Lab: 9% to 4%, −5. Inside the floor by 6 points · rank 4 → 6 of 90.
- Dataiku: 7% to 6%, −1. Inside the floor by 10 points · rank 5 → 4 of 90.
- Google Vertex AI: 4% to 4%, ±0. Inside the floor by 11 points · rank 7 → 5 of 90.
- IBM watsonx.ai: 0% to 0%, ±0. Inside the floor by 11 points · rank 10 → 8 of 90.
- SAS Viya: 0% to 0%, ±0. Inside the floor by 11 points · rank 13 → 9 of 90.
- H2O.ai: 0% to 0%, ±0. Inside the floor by 11 points · rank 11 → 10 of 90.
- Snowflake Cortex AI: 0% to 0%, ±0. Inside the floor by 11 points · rank 12 → 11 of 90.
- MLflow: 0% to 0%, ±0. Inside the floor by 11 points · rank 17 → 88 of 90.

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.