# ML platforms for enterprise buyers: what AI models recommend, September 2026 Gane 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://www.gane.ai/index/it/it-data/ml-platforms/2026-09/enterprise This is the permanent record of the September 2026 Edition, published September 17, 2026 and superseded since.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 33% of first choices; verdict contested. 42 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) | 33% | 8% | 49 | | 2 | [Amazon SageMaker](https://www.gane.ai/index/it/vendors/amazon-sagemaker/index.md) | 19% | 21% | 56 | | 3 | [Azure Machine Learning](https://www.gane.ai/index/it/vendors/azure-machine-learning/index.md) | 12% | 12% | 51 | | 4 | [Dataiku](https://www.gane.ai/index/it/vendors/dataiku/index.md) | 7% | 4% | 26 | | 5 | [Domino Data Lab](https://www.gane.ai/index/it/vendors/domino-data-lab/index.md) | 7% | 0% | 16 | | 6 | [Google Vertex AI](https://www.gane.ai/index/it/vendors/google-vertex-ai/index.md) | 5% | 19% | 52 | | 7 | [DataRobot](https://www.gane.ai/index/it/vendors/datarobot/index.md) | 5% | 14% | 28 | | 8 | [IBM watsonx.ai](https://www.gane.ai/index/it/vendors/ibm-watsonx-ai/index.md) | 2% | 0% | 10 | | 10 | [H2O.ai](https://www.gane.ai/index/it/vendors/h2o-ai/index.md) | 2% | 17% | 12 | | 13 | [MLflow](https://www.gane.ai/index/it/vendors/mlflow/index.md) | 0% | 20% | 10 | Rank is by share of first choices among all 65 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: Amazon SageMaker; alternatives Databricks Mosaic AI, Domino Data Lab, Google Vertex AI, H2O.ai - GPT-5.4 mini: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, Google Vertex AI - Gemini 3.5 Flash: Google Vertex AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Databricks Mosaic AI - Perplexity Sonar: Azure Machine Learning; alternatives Databricks Mosaic AI, Gemini Enterprise Agent Platform, Google Vertex AI, IBM watsonx.ai - Grok 4.20: Databricks Mosaic AI; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Google Vertex AI - Mistral Small: Azure Machine Learning, Databricks Mosaic AI; alternatives Amazon SageMaker, DataRobot, Google Vertex AI - DeepSeek V4 Flash: Amazon SageMaker; alternatives Azure AI Foundry, Azure Machine Learning, Databricks Mosaic AI, Dataiku - Llama 4 Maverick: no first choice - Qwen 3.7 Flash: no first choice; alternatives Amazon SageMaker, Azure Machine Learning, DataRobot, Databricks Mosaic AI - Kimi K2: Amazon SageMaker; alternatives Azure Machine Learning, DataRobot, Databricks Mosaic AI, Google Vertex AI - 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 Mosaic AI, 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: - dataiku.com: 26 answers, 30 citations - checkthat.ai: 25 answers, 34 citations - g2.com: 22 answers, 27 citations - learn.g2.com: 20 answers, 30 citations - truefoundry.com: 17 answers, 17 citations - artificialintelligencecompanies.com: 16 answers, 16 citations - aiadvisorypractice.com: 14 answers, 20 citations - techtarget.com: 13 answers, 15 citations Pages named in the most answers: - https://dataiku.com/blog/enterprise-machine-learning-platforms-how-to-choose (20 answers) - https://checkthat.ai/answers/what-are-the-best-ai-ml-platforms (20 answers) - https://artificialintelligencecompanies.com/best/machine-learning-platforms (16 answers) - https://learn.g2.com/best-data-science-ml-platforms (15 answers) - https://learn.g2.com/best-machine-learning-tools (15 answers) - https://aiadvisorypractice.com/blog/mlops-platform-comparison-enterprise-buyers (10 answers) - https://guptadeepak.com/tools/top-10-mlops-platforms-2026 (10 answers) - https://solutionsreview.com/business-intelligence/the-best-enterprise-data-science-software-ml-tools (10 answers) - https://thirstysprout.com/post/best-machine-learning-platforms (10 answers) - https://veritis.com/blog/best-mlops-tools-for-enterprises (10 answers) ## Warned against - Google Vertex AI: 10 of 52 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 51 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://www.gane.ai/index/it/methodology - License: CC BY 4.0. Cite as Gane Index, September 2026 Edition, www.gane.ai/index/it.