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AWS Glue DataBrew vs AWS Glue Schema Registry

What both publish

FactAWS Glue DataBrewAWS Glue Schema Registry
AutomationSaved transformations can be applied to new data as it arrives in a source system.Supported features include schema auto-registration, schema sourcing via metadata, IAM compatibility, and optional ZLIB compression.
IntegrationsDataBrew datasets can use files, Amazon S3, supported JDBC data sources, or the AWS Glue Data Catalog.The documentation describes integrations with Apache Kafka, Amazon MSK, Kinesis Data Streams, Amazon Managed Service for Apache Flink, AWS Lambda, AWS Glue streaming, and Apache Kafka Streams.
PurposeAWS Glue DataBrew is a visual tool for preparing data for analytics and machine learning without writing code.Centrally discovers, controls, and evolves data stream schemas for streaming applications.
SecurityAWS documentation recommends IAM access controls, TLS for communications, CloudTrail activity logging, and AWS encryption solutions.Client API communication uses TLS encryption over HTTPS, and schemas are encrypted at rest with an AWS KMS service-managed key.

AWS Glue DataBrew plans

  • DataBrew jobs$0.48 a month
  • DataBrew interactive sessions$1, paid once
  • Pay-as-you-goPriced on request

AWS Glue Schema Registry plans

  • AWS Glue Schema RegistryFree

Pick AWS Glue DataBrew if…

It suits data analysts and data scientists preparing data for analytics or machine learning, especially those who want visual transformations instead of writing code. It can also serve teams working with large datasets across data lakes, warehouses, and databases.

Pick AWS Glue Schema Registry if…

It suits teams building streaming applications that need shared schema definitions and compatibility controls. Check the supported formats, integration limits, and regional availability against your setup.

Charts they share