Apicurio Registry vs Cloudera Schema Registry
Apicurio Registry
apicur.ioCloudera Schema Registry
docs.cloudera.comSide by side
| Figure | Apicurio Registry | Cloudera Schema Registry |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Schema Registry Software | 8.0 (#11) | 7.3 (#14) |
| Deployment | The getting-started guide runs the server and UI as separate Docker images and also names Podman as a prerequisite option. | The Kubernetes Operator edition packages Cloudera Runtime Schema Registry as a Helm chart for deployment on Kubernetes. |
| Integrations | The documentation describes Kafka client serializers and deserializers for Avro, Protobuf, and JSON Schema, and integration with Kafka Connect. | Documented integration points include custom NiFi processors and Kafka serializers and deserializers. |
| Purpose | Apicurio Registry is a runtime server that stores artifacts and lets users add, update, and remove them through a remote REST API. | Schema Registry centrally stores and manages schemas for streaming data so applications can validate their data. |
| Storage | The product page lists Apache Kafka, PostgreSQL, and Microsoft SQL Server as backend storage options. | Schema metadata storage supports MySQL, PostgreSQL, and Oracle; serializer and deserializer JAR storage supports local filesystems and HDFS, with the local filesystem as default. |
| Support | The documentation directs users to the GitHub projects and issue tracker for help, suggestions, and problem reports. | Cloudera states that its cloud and on-premises offerings include enterprise-grade technical support and version, maintenance, and security updates. |
Plans
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.
Cloudera Schema Registry
Cloudera Schema Registry has no write-up on Specifiction yet; its figures are above.