Introducing Postman Datasets

Postman Datasets introduces a new data layer for API workflows, addressing the challenge of scattered test data by allowing users to define their data sources and views once and use them consistently across various testing scenarios. The feature supports multiple data sources such as local and remote files, MySQL, and PostgreSQL databases, with sensitive connection details securely stored in Postman Vault. Views, which are SQL queries compatible with SQLite syntax, enable users to shape, filter, and combine data without duplicating files or altering raw data, providing flexibility in mapping data to test variables. Datasets can be used across Postman workflows, including running data-driven collections, powering stateful mocks, validating responses in scripts, and automating in continuous integration (CI) and monitoring setups. Additionally, Postman Datasets are designed to be Git-native, stored as YAML files in a local Git repository, allowing for version control and offline workflows. Currently available in beta for Solo, Team, and Enterprise plans, Datasets are integrated into Local View on the Postman desktop app, with support for Postman Cloud anticipated soon.