Data science teams often move among separate tools for governed data access, R analysis, Python model development, deployment, application development, and reporting.

Positron, Posit’s integrated development environment (IDE) for data science, now runs on Amazon SageMaker AI.

For a data scientist, running Positron on SageMaker AI means: Data access without managing credentials.

Positron runs under the Space execution role, so you query Amazon Athena, the AWS Glue Data Catalog, and Amazon Simple Storage Service (Amazon S3) directly from the IDE.

Access follows the role’s permissions, with no keys to store or rotate.

Compute that is ready when you are.

You launch a Space on the instance size you need, and teams can reserve capacity with SageMaker AI training plans so compute is available for scheduled training.

AI assistance that stays in your account.

Posit Assistant, Posit’s AI coding assistant, can use Amazon Bedrock as its model provider, so AI help runs on models in your own AWS account and AWS Region.

Room to work in parallel and together.

…