Six of twelve models named Azure Machine Learning first on the direct prompt; two named Databricks. Both were named by all twelve models and Azure Machine Learning carries 49 labels and Databricks 30, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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.
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid these platforms if you are a small team, a startup, or just starting out.” GLM 4.7 FlashX · negative prompt · hard negative
“Cloud giants (SageMaker, Vertex AI, Azure ML): Secure but watch costs, lock-in, and misconfigs (e.g., exposed creds in Azure).” Grok 4.1 Fast · negative prompt · soft negative
“Excellent integration if you're committed to one cloud, but their proprietary APIs ... make migration costly and difficult” DeepSeek V4 Flash · negative prompt · soft negative
“Microsoft Azure Machine Learning (Best for Integration & Governance) If your organization already uses Microsoft 365, Teams, or Power BI, Azure is often the lowest-friction choice.” Qwen 3.7 Flash · direct prompt · first choice
“If you want one recommendation without more context, I’d pick Azure Machine Learning for a typical mid-market B2B company” Perplexity Sonar · direct prompt · first choice
“(SageMaker, Azure ML, or Vertex AI) — it ships fastest, integrates cleanly, and scales with you” DeepSeek V4 Flash · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Platforms with aggressive model deprecation policies (like some Azure Databricks and OpenAI services) can disrupt your operations” Kimi K2 · negative prompt · soft negative
“I'd recommend starting with either Databricks or Azure Machine Learning” MiniMax M2.5 · direct prompt · first choice
“Best overall "sweet spot": Databricks (with MLflow) — my top recommendation” DeepSeek V4 Flash · paraphrase prompt · first choice
“I'd usually recommend Databricks as the default MLOps platform” GPT-5.4 mini · paraphrase prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.