AWS announced Glue's general availability on August 14, 2017, presenting it as a managed service for preparing and loading data for analytics. Users could point the service at data stored on AWS; Glue would discover it and store metadata such as table definitions and schemas in its Data Catalog, making catalogued data searchable, queryable and available for ETL. [story-s1]

The service generated customizable, reusable and portable Python code for transformations and loading, then scheduled jobs on a managed, scale-out Apache Spark environment. AWS said Glue provisioned the resources automatically and billed for compute consumed while jobs ran. The launch announcement listed US East (N. Virginia) as the available region, with expansion to others expected in the coming months—a defined initial footprint, not a claim of broad availability. [story-s1]

Source documents

  1. Introducing AWS Glue: A Simple, Flexible, and Cost-Effective Extract, Transfer, and Load (ETL) Service - AWShttps://aws.amazon.com/about-aws/whats-new/2017/08/introducing-aws-glue-a-simple-flexible-and-cost-effective-extract-transfer-and-load-etl-service/