
AWS Glue DataBrew
7.2#2 in schema registry softwareWebAPI
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| Fact | AWS Glue DataBrew | AWS Glue Schema Registry |
|---|---|---|
| Automation | Saved 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. |
| Integrations | DataBrew 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. |
| Purpose | AWS 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. |
| Security | AWS 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. |
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.
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.