What AWS service can help with schema evolution?

AWS Glue is the correct choice for addressing schema evolution because it is designed as a serverless data integration service that offers functionalities specifically tailored for data preparation and transformation. One of the standout features of AWS Glue is its capability to handle schema changes over time, allowing data engineers to manage evolving data structures without significant overhead.

AWS Glue provides a data catalog that keeps track of metadata and schema definitions. When changes occur in the underlying data sources, Glue can automatically infer new schemas and update the catalog accordingly, streamlining the process of adapting to these changes. This capability is particularly crucial in environments where data flows from various sources that may experience frequent updates or modifications.

In contrast, while Amazon RDS and Amazon Redshift support data management and storage, their focus is not directly on schema evolution. They do not have built-in features for automatic schema inference or updates in the manner that AWS Glue does. Similarly, Amazon DynamoDB, while a flexible NoSQL database, requires manual schema management and does not provide the same level of automated support for schema evolution as AWS Glue. Therefore, AWS Glue clearly stands out as the most suitable service for managing schema evolution in data engineering workflows.