AWS Glue DataBrew
7.2#2 in schema registry softwareWebAPI
VisitAWS Glue DataBrew vs Cloudera Schema Registry
Cloudera Schema Registry
5.3#19 in schema registry softwareWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | AWS Glue DataBrew | Cloudera Schema Registry |
|---|---|---|
| API | AWS provides an API reference for AWS Glue DataBrew operations. | Its REST API supports schema and version management, file import and export, search, aggregation, and Confluent-compatible endpoints. |
| Integrations | DataBrew datasets can use files, Amazon S3, supported JDBC data sources, or the AWS Glue Data Catalog. | Documented integration points include custom NiFi processors and Kafka serializers and deserializers. |
| Intended users | AWS identifies data analysts and data scientists who prepare data for analytics and machine learning as DataBrew’s primary users. | The documentation describes the product for streaming applications that need a shared schema repository and safer evolution of producer and consumer message formats. |
| Purpose | AWS Glue DataBrew is a visual tool for preparing data for analytics and machine learning without writing code. | Schema Registry centrally stores and manages schemas for streaming data so applications can validate their data. |
| Security | AWS documentation recommends IAM access controls, TLS for communications, CloudTrail activity logging, and AWS encryption solutions. | TLS can secure application, client, OAuth, and database traffic, and Cloudera recommends enabling it for all these categories. |
AWS Glue DataBrew plans
- DataBrew jobs$0.48 a month
- DataBrew interactive sessions$1, paid once
- Pay-as-you-goPriced on request
Cloudera Schema Registry plans
- Streams MessagingPriced on request
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 Cloudera Schema Registry if…
It suits streaming application teams that need a shared schema repository and a way to manage producer and consumer message format changes. Kubernetes deployments and teams using Kafka or NiFi are among the documented use cases.