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

Gane Index, October 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/2026-10/enterprise

This is the permanent record of the October 2026 Edition, published October 1, 2026 and superseded since. The current standing: https://www.gane.ai/index/it/it-data/ml-platforms/enterprise/index.md

**Standing:** Databricks Mosaic AI leads with 44% of first choices; verdict clear leader. 45 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) | 44% | 23% | 60 |
| 2 | [Amazon SageMaker](https://www.gane.ai/index/it/vendors/amazon-sagemaker/index.md) | 13% | 32% | 60 |
| 3 | [Azure Machine Learning](https://www.gane.ai/index/it/vendors/azure-machine-learning/index.md) | 11% | 20% | 55 |
| 4 | [Domino Data Lab](https://www.gane.ai/index/it/vendors/domino-data-lab/index.md) | 9% | 8% | 13 |
| 5 | [Dataiku](https://www.gane.ai/index/it/vendors/dataiku/index.md) | 7% | 7% | 29 |
| 6 | [DataRobot](https://www.gane.ai/index/it/vendors/datarobot/index.md) | 7% | 15% | 27 |
| 7 | [Google Vertex AI](https://www.gane.ai/index/it/vendors/google-vertex-ai/index.md) | 4% | 27% | 55 |
| 10 | [IBM watsonx.ai](https://www.gane.ai/index/it/vendors/ibm-watsonx-ai/index.md) | 0% | 0% | 13 |
| 11 | [H2O.ai](https://www.gane.ai/index/it/vendors/h2o-ai/index.md) | 0% | 12% | 17 |
| 13 | [SAS Viya](https://www.gane.ai/index/it/vendors/sas-viya/index.md) | 0% | 18% | 17 |
| 53 | [Kubeflow](https://www.gane.ai/index/it/vendors/kubeflow/index.md) | 0% | 50% | 10 |

Rank is by share of first choices among all 64 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: no first choice; alternatives Amazon SageMaker, Azure Machine Learning, Databricks Mosaic AI, Google Vertex AI
- 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 Azure Machine Learning, Dataiku, Google Vertex AI, IBM watsonx.ai
- Grok 4.20: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Google Vertex AI
- Mistral Small: Databricks Mosaic AI; alternatives C3 AI, Google Vertex AI, Palantir Foundry, SAS Viya
- DeepSeek V4 Flash: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Dataiku, Google Vertex AI
- Llama 4 Maverick: Google Vertex AI; alternatives Gemini Enterprise Agent Platform
- Qwen 3.7 Flash: Amazon SageMaker, Databricks Mosaic AI; alternatives Azure Machine Learning, Google Vertex AI, Snowflake Cortex AI
- Kimi K2: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Dataiku, Google Vertex AI
- GLM 4.7 FlashX: Amazon SageMaker; alternatives Azure Machine Learning, DataRobot, Databricks Unified Data Platform, Google Vertex AI
- MiniMax M2.5: Amazon SageMaker, Databricks Mosaic AI; alternatives Azure Machine Learning, Google Vertex AI, IBM Watson Studio
- GPT-6 Luna: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Google Cloud's ML platform
- Muse Glimmer 30B: no first choice; alternatives Amazon SageMaker, DataRobot Enterprise AI Suite, Databricks Mosaic AI, Gemini Enterprise Agent Platform

## Sources the answers cite

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

- g2.com: 35 answers, 75 citations
- dataiku.com: 25 answers, 34 citations
- checkthat.ai: 25 answers, 32 citations
- learn.g2.com: 22 answers, 34 citations
- prompts.ai: 17 answers, 20 citations
- azumo.com: 17 answers, 19 citations
- guptadeepak.com: 16 answers, 16 citations
- databricks.com: 14 answers, 15 citations

Pages named in the most answers:

- https://dataiku.com/blog/enterprise-machine-learning-platforms-how-to-choose (22 answers)
- https://g2.com/categories/data-science-and-machine-learning-platforms (20 answers)
- https://learn.g2.com/best-machine-learning-tools (19 answers)
- https://checkthat.ai/answers/what-are-the-best-machine-learning-platforms (17 answers)
- https://guptadeepak.com/tools/top-10-mlops-platforms-2026 (16 answers)
- https://azumo.com/artificial-intelligence/ai-insights/mlops-platforms (13 answers)
- https://eweek.com/artificial-intelligence/machine-learning-solutions (13 answers)
- https://artificialintelligencecompanies.com/best/machine-learning-platforms (12 answers)
- https://ones.com/blog/solution-guide/best-mlops-platforms-2026 (12 answers)
- https://techdogs.com/top-10-technology-rankings/top-10-machine-learning-companies (12 answers)

## Warned against

- Amazon SageMaker: 19 of 60 labels negative. "You should avoid relying solely on AWS SageMaker, Google Vertex AI, or Azure Machine Learning for this specific use case" (Qwen 3.7 Flash, budget prompt)
- Google Vertex AI: 15 of 55 labels negative. "(SageMaker, Vertex AI, Azure ML, IBM Watson) are *specifically and repeatedly* flagged by independent analysts with warnings to "avoid or be very cautious."" (DeepSeek V4 Flash, negative prompt)
- Databricks Mosaic AI: 14 of 60 labels negative. "these are primarily usage-based (pay-per-compute-hour), which can spike unpredictably" (MiniMax M2.5, budget prompt)
- Azure Machine Learning: 11 of 55 labels negative. "You should avoid relying solely on ... Azure Machine Learning for this specific use case" (Qwen 3.7 Flash, budget prompt)

## Movement since September 2026

Floor: 11 points of share, measured on the calibration repeat.
Same leader: Databricks Mosaic AI at 44%.

- Databricks Mosaic AI: 33% to 44%, +11. Inside the floor by 0 points · rank 1 of 54, unchanged.
- Amazon SageMaker: 19% to 15%, −4. Inside the floor by 7 points · rank 2 of 54, unchanged.
- Domino Data Lab: 7% to 5%, −2. Inside the floor by 9 points · rank 5 → 7 of 54.
- IBM watsonx.ai: 2% to 0%, −2. Inside the floor by 9 points · rank 8 → 10 of 54.
- H2O.ai: 2% to 0%, −2. Inside the floor by 9 points · rank 10 → 11 of 54.
- Azure Machine Learning: 12% to 13%, +1. Inside the floor by 10 points · rank 3 of 54, unchanged.
- Dataiku: 7% to 8%, +1. Inside the floor by 10 points · rank 4 of 54, unchanged.
- Google Vertex AI: 5% to 5%, ±0. Inside the floor by 11 points · rank 6 → 5 of 54.
- DataRobot: 5% to 5%, ±0. Inside the floor by 11 points · rank 7 → 6 of 54.
- SAS Viya: 0% to 0%, ±0. Inside the floor by 11 points · rank 16 → 12 of 54.
- MLflow: 0% to 0%, ±0. Inside the floor by 11 points · rank 13 → 18 of 54.

## Record

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