Amazon SageMaker Unified Studio is now generally available
AWS announces the general availability of Amazon SageMaker Unified Studio, a single data and AI development environment that brings together functionality and tools from AWS analytics and AI/ML services, including Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon Bedrock, and Amazon SageMaker AI. This launch includes simplified permissions management that makes it easier to bring existing AWS resources to the unified studio. SageMaker Unified Studio allows you to find, access, and query data and AI assets across your organization, then collaborate in projects to securely build and share analytics and AI artifacts, including data, models, and generative AI applications. Unified access to your data is provided by Amazon SageMaker Lakehouse and governance capabilities are built in via Amazon SageMaker Catalog.
Amazon Q Developer is now generally available in SageMaker Unified Studio, providing generative AI-powered assistance across the development lifecycle. Amazon Q Developer streamlines development by offering natural language, conversational interfaces that simplify tasks like writing SQL queries, building ETL jobs, troubleshooting, and generating real-time code suggestions. The Free Tier of Amazon Q Developer is available by default in SageMaker Unified Studio; customers with existing Amazon Q Developer Pro Tier subscriptions can access additional features.
Selected capabilities from Amazon Bedrock are also generally available in SageMaker Unified Studio. You can rapidly prototype, customize, and share generative AI applications using high-performing foundation models and advanced features such as Amazon Bedrock Knowledge Bases, Amazon Bedrock Guardrails, Amazon Bedrock Agents, and Amazon Bedrock Flows to create tailored solutions aligned to your requirements and responsible AI guidelines.
See Supported Regions for a list of AWS Regions where SageMaker Unified Studio is generally available. To learn more about SageMaker Unified Studio and how it can accelerate data and AI development, see the Amazon SageMaker Unified Studio webpage or documentation. You can start using SageMaker Unified Studio today by selecting “Amazon SageMaker” in the AWS Console.