AWS Glue supports streaming ETL. This feature lets customers quickly set up continuous ingestion pipelines to stream data on the fly and provide analysis in seconds to their data study.

Also the tool also to provision, manage, and scale the infrastructure needed to ingest data to data lakes on Amazon S3 or data warehouses such as Amazon Redshift, or other  any other data stores. Next, they can create a unified view of their data via the Glue Data Catalog that is available for ETL, querying and reporting using services like Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. Since its general availability, Amazon updated the service with several features, the latest of which is the support for streaming ETL Jobs. 

The use case for AWS Glue is when customers want to use the jobs to process event data such as IoT event streams, clickstreams, and network logs. When they process streaming data in a Glue job, they have access to the full capabilities of Spark Structured Streaming – allowing them to implement data transformations, such as aggregating, partitioning, and formatting. Furthermore, they can join this data with other data sets to enrich or cleanse the data for easier analysis.