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Pricing overview

Collaborate and build faster using familiar AWS tools for model development, generative AI application development, data processing, and SQL analytics, accelerated by Amazon Q Developer. Gain unified access to all your data whether it’s stored in data lakes, data warehouses, or federated data sources, with governance built-in to meet your enterprise security needs. When using Amazon SageMaker, AWS will charge you the pricing for each AWS service that you use. The pricing for each key capability of SageMaker is summarised below.

Amazon SageMaker AI

SageMaker AI follows a pay-as-you-go pricing model with no upfront commitments or minimum fees. The key pricing dimensions for SageMaker AI include instance usage (compute resources used in training, hosting, and notebook instances), storage (Amazon SageMaker notebooks, Amazon Elastic Block Store (Amazon EBS) volumes, and Amazon S3), data processing jobs, model deployment, and MLOps (Amazon SageMaker Pipelines and Model Monitor). Additional components like SageMaker AI Feature Store and Data Wrangler tools might have their own pricing considerations. The actual costs can vary based on factors such as AWS Region, instance types, storage volume, and specific usage patterns. For the most accurate and detailed pricing information, consult SageMaker AI pricing.

Amazon Bedrock

Amazon Bedrock offers a flexible, consumption-based pricing model. You pay only for the Amazon Bedrock resources you use, without any minimum fees or upfront commitments. Pricing is based on your usage of Amazon Bedrock, such as the Agents, Flows, Knowledge Bases, Functions, and Guardrails features and the models available through Amazon Bedrock. For the most accurate and detailed pricing information, consult Amazon Bedrock pricing.

SQL Analytics

SQL with Amazon Redshift offers a flexible, consumption-based pricing model. You pay only for the compute resources you use, without minimum fees or upfront commitments. Pricing is based on the number of nodes and instance hours used, with costs varying by node type. The model includes options for on-demand and reserved instances, with the latter providing cost savings for long-term commitments. For the most accurate and detailed pricing information, consult Amazon Redshift pricing.

Amazon SageMaker Data Processing

SageMaker Data Processing, which brings together capabilities from Amazon Athena, Amazon EMR, AWS Glue, and Amazon Managed Workflows for Apache Airflow (Amazon MWAA), offers a flexible, pay-as-you-go pricing model without upfront commitments or a minimum fee. The pricing structure is based on the usage of various components, including compute resources, storage, and specific tools within the service. You pay for the actual resources consumed, which might vary depending on factors such as AWS Region, instance types, and usage patterns. For the most accurate and detailed pricing information, consult the Athena, Amazon EMR, AWS Glue, and Amazon MWAA pricing pages.

Amazon Q Developer

Amazon Q Developer is available within SageMaker Unified Studio to support development tasks like coding, testing, security scanning, resource optimisation, and data integration. Amazon Q charges a fixed cost per user per month. For the most accurate and detailed pricing information, consult Amazon Q Developer pricing.

Amazon SageMaker Data and AI Governance

The next generation of SageMaker simplifies discovery, governance, and collaboration for data and AI across your lakehouse, AI models, and applications. With SageMaker Catalog, built on Amazon DataZone, you can consistently define and enforce access policies using a single permission model with fine-grained access controls.

SageMaker Catalog follows a pay-as-you-go pricing model with no upfront commitments or minimum fees. Pricing is based on four key dimensions: requests, metadata storage, compute, and AI recommendations for generating business descriptions. Each account receives some free usage per billing month, including a set amount of metadata storage, API requests, and compute units. Charges only apply if usage exceeds these free limits. The service offers core APIs that are always free and don't count towards the request limit. The rates for each of the dimensions and allowed free usage are described below.