--- title: Azure ML vs. AWS SageMaker: A Deep Dive into Model... description: Azure ML and AWS SageMaker differ fundamentally in how they handle ML training jobs. Azure uses workspace-centric project management with role-based access... canonical: https://daily.dev/posts/azure-ml-vs-aws-sagemaker-a-deep-dive-into-model-training-part-1-q0if9bozg twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Azure ML vs. AWS SageMaker: A Deep Dive into Model Training — Part 1 | daily.dev og:description: Azure ML and AWS SageMaker differ fundamentally in how they handle ML training jobs. Azure uses workspace-centric project management with role-based access... og:url: https://daily.dev/posts/azure-ml-vs-aws-sagemaker-a-deep-dive-into-model-training-part-1-q0if9bozg og:image: https://api.daily.dev/og/posts/Q0iF9bOZG.png og:image:alt: Azure ML vs. AWS SageMaker: A Deep Dive into Model Training — Part 1 og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Azure ML vs. AWS SageMaker: A Deep Dive into Model Training — Part 1 **[Towards Data Science](https://daily.dev/sources/tds)** · 11 min read · 0 upvotes · 0 comments ## Summary Azure ML and AWS SageMaker differ fundamentally in how they handle ML training jobs. Azure uses workspace-centric project management with role-based access control (RBAC) at the user level, while AWS employs job-level permissions through IAM roles. For data storage, Azure provides datastores and data assets within workspaces that abstract connection details, whereas AWS relies on S3 buckets with explicit URI paths and permission grants. Azure's approach suits teams managing user access centrally, while AWS fits organizations prioritizing granular job-level permissions and automation. The choice depends on existing cloud infrastructure, team structure, and MLOps workflow preferences. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [AWS vs. Azure: A Deep Dive into Model Training – Part 2](https://daily.dev/posts/aws-vs-azure-a-deep-dive-into-model-training-part-2-qfahniuuq) · Towards Data Science · 0 upvotes · 0 comments - [\[AWS-AI\] Amazon SageMaker Explained: From Data Preparation to Model Deployment](https://daily.dev/posts/aws-ai-amazon-sagemaker-explained-from-data-preparation-to-model-deployment-izl4ihjhw) · Medium · 0 upvotes · 0 comments - [From DevOps to MLOPs: What I Learned Today — 03](https://daily.dev/posts/from-devops-to-mlops-what-i-learned-today-03-c6o4mq66v) · Faun · 0 upvotes · 0 comments - [Azure vs AWS AI for Commerce: Results from Top Online Stores](https://daily.dev/posts/azure-vs-aws-ai-for-commerce-results-from-top-online-stores-l5jtpflih) · Netguru · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#data-science](https://daily.dev/tags/data-science), [#azure](https://daily.dev/tags/azure), [#mlops](https://daily.dev/tags/mlops) [View this post on daily.dev](https://daily.dev/posts/azure-ml-vs-aws-sagemaker-a-deep-dive-into-model-training-part-1-q0if9bozg) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Azure ML vs. AWS SageMaker: A Deep Dive into Model Training — Part 1","url":"https://daily.dev/posts/azure-ml-vs-aws-sagemaker-a-deep-dive-into-model-training-part-1-q0if9bozg","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/azure-ml-vs-aws-sagemaker-a-deep-dive-into-model-training-part-1-q0if9bozg"},"datePublished":"2026-01-25T13:50:42.911Z","dateModified":"2026-01-25T13:51:06.359Z","description":"Azure ML and AWS SageMaker differ fundamentally in how they handle ML training jobs. 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