Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
★ 1.6 average rating
About Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. Enable more people to innovate with ML through a choice of tools—IDEs for data scientists and no-code interface for business analysts. Access, label, and process large amounts of structured data (tabular data) and unstructured data (photo, video, geospatial, and audio) for ML. Reduce training time from hours to minutes with optimized infrastructure. Boost team productivity up to 10 times with purpose-built tools. Automate and standardize MLOps practices and governance across your organization to support transparency and auditability.
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Frequently asked questions
What is Amazon SageMaker?
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. It is listed under the Freemium • Proprietary license model in the SaaS Lenz directory.
Is Amazon SageMaker free to use?
Amazon SageMaker is listed as Freemium • Proprietary in our directory. Pricing and plan details can change, so check the official website for current terms before committing.
What platforms does Amazon SageMaker run on?
Amazon SageMaker is available on Software as a Service SaaS, Amazon Web Services, so you can use it across the devices your team already works with.
Who develops Amazon SageMaker?
Amazon SageMaker is developed by Amazon Web Services, Inc.. You can find more background and documentation on the product's official website.
What are the best alternatives to Amazon SageMaker?
Popular alternatives to Amazon SageMaker include Amazon Bedrock, Amazon Sagemaker Studio, Run:ai, SmartPredict, Valohai. Compare their features, license models, and platforms on the SaaS Lenz alternatives page.