A web UI for managing Avro schemas in Confluent Schema Registry, enabling creation, viewing, searching, evolution, and configuration.
Schema Registry UI is a web tool for Confluent Schema Registry that allows users to create, view, search, evolve, and configure Avro schemas for their Kafka clusters. It provides a graphical interface to manage schema lifecycle and compatibility, streamlining data governance in streaming architectures.
Data engineers, Kafka administrators, and developers working with Avro schemas in Confluent Platform who need an intuitive UI for schema management without relying solely on CLI or API calls.
It offers a free, open-source alternative to proprietary schema management tools, with features like multi-cluster support, Docker deployment, and compatibility with various Schema Registry versions, enhancing productivity in schema-driven workflows.
Web tool for Avro Schema Registry |
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Supports multiple Schema Registry clusters with customizable colors and read-only modes, as configured in env.js, making it easy to manage different environments from a single interface.
Easily deployable via Docker with environment variables like SCHEMAREGISTRY_URL, reducing setup time and simplifying integration into existing infrastructures.
Manages schema versioning and compatibility changes, including support for transitive compatibility levels in Confluent Platform >= 3.1.1, aiding in smooth schema updates.
Allows setting global compatibility levels and enabling schema deletion based on registry version support, providing fine-grained control over schema policies directly from the UI.
Requires enabling CORS on the Schema Registry by modifying configuration files, which can introduce security risks and add operational overhead for setup.
Exclusively designed for Avro schemas, so it cannot be used with other schema formats like Protobuf or JSON Schema, limiting its applicability in diverse data ecosystems.
Features such as transitive compatibility and schema deletion are only available with specific Confluent Schema Registry versions, potentially causing compatibility issues with older deployments.
Setting up clusters involves editing JavaScript files like env.js, which can be error-prone and less accessible for non-technical users or automated deployments.