Apicurio Registry vs AWS Glue DataBrew
Apicurio Registry
apicur.io
AWS Glue DataBrew
aws.amazon.comSide by side
| Figure | Apicurio Registry | AWS Glue DataBrew |
|---|---|---|
| Price from | — | $0.48/mo |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 0 | 4 |
| Spec score · Schema Registry Software | 8.0 (#11) | 8.9 (#1) |
| Integrations | The documentation describes Kafka client serializers and deserializers for Avro, Protobuf, and JSON Schema, and integration with Kafka Connect. | DataBrew datasets can use files, Amazon S3, supported JDBC data sources, or the AWS Glue Data Catalog. |
| Purpose | Apicurio Registry is a runtime server that stores artifacts and lets users add, update, and remove them through a remote REST API. | AWS Glue DataBrew is a visual tool for preparing data for analytics and machine learning without writing code. |
Plans
AWS Glue DataBrew
- DataBrew interactive sessions$1 a month
- DataBrew jobs$0.48 a month
- DataBrew interactive sessions$1, paid once
- Pay-as-you-goPriced on request
In their own words
Apicurio Registry
Apicurio Registry is an open-source runtime server for storing API designs and schemas as artifacts. Users can add, update, and remove artifacts through a remote REST API. For API discovery, teams can register designs such as OpenAPI, AsyncAPI, and GraphQL so consumers can search and browse APIs, see details, and read generated documentation. For messaging and event streaming, it provides a central place to track schemas and manage data-format evolution. Supported artifact types include OpenAPI, AsyncAPI, GraphQL, Apache Avro, Protocol Buffers, JSON Schema, Kafka Connect schema, WSDL, XML Schema, and ODCS v3.1. Configurable rules can check validity, compatibility, and integrity as artifacts change. Listed storage backends include Apache Kafka, PostgreSQL, and Microsoft SQL Server. Management options include a web console, REST API, command line, Maven plug-in, and Java client. Kafka serializers and deserializers can enforce schemas in producer and consumer applications. The documentation covers self-hosted deployment, including Kubernetes. The quick-start in-memory server is non-persistent and is not intended for production.
AWS Glue DataBrew
AWS Glue DataBrew has no write-up on Specifiction yet; its figures are above.