New applications and features often require you to combine data that resides across multiple data stores, including relational and non-relational databases. Accessing, combining, replicating, and keeping this data up-to-date requires manual work and custom code that can take months of development time.
With AWS Glue Elastic Views, you can use familiar Structured Query Language (SQL) to quickly create a virtual table—a materialized view—from multiple different source data stores. AWS Glue Elastic Views copies data from each source data store and creates a replica in a target data store. AWS Glue Elastic Views continuously monitors for changes to data in your source data stores and provides updates to the materialized views in your target data stores automatically, ensuring data accessed through the materialized view is always up-to-date.