Publisher
Jetbrains 3rd PartySubcategories
Average rating
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4.7 / 5
About this software
Schema Registry Viewer is a JetBrains IDE plugin feature that connects IDEs to Kafka schema registries to inspect and manage schemas. It supports Avro, Protobuf, and JSON formats, lets users preview schemas in raw or tree view, compare versions, and perform create, update, clone, and delete operations when supported by the registry. Access is provided through the Kafka or Big Data Tools plugin in JetBrains IDEs.
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JetBrains 3rd Party Schema Registry Viewer
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€14.28
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Benefits
- Registry connections: Connect to Confluent or AWS Glue schema registries from the IDE.
- Schema preview: Preview schemas in raw text or hierarchical tree view.
- Schema management: Create, update, clone, and delete schemas within the IDE.
- Version comparison: Compare schema versions and inspect changes between releases.
- IDE integration: Works inside JetBrains IDEs through the Kafka or Big Data Tools plugin.
Available languages
- English
Support information
- Documentation: Refer to the JetBrains Kafka or Big Data Tools documentation for setup and usage instructions.
- Plugin page: Check the JetBrains plugin repository page for installation and compatibility details.
- Issue reporting: Report plugin bugs or compatibility issues via the plugin's issue tracker or JetBrains support channels.
- Community help: Ask usage questions on JetBrains community forums or Q&A sites like Stack Overflow.
- Updates and compatibility: Plugin updates and compatibility notes are published on the JetBrains plugin page and documentation.
Frequently asked questions
What is Schema Registry Viewer?
A JetBrains IDE feature/plugin that connects to Kafka schema registries to view and manage Avro, Protobuf, and JSON schemas inside the IDE.
Which schema formats are supported?
The JetBrains documentation lists Avro, Protobuf, and JSON schema formats as supported by the schema registry integration.
Which registry providers are supported?
JetBrains documentation describes explicit support for Confluent and AWS Glue schema registries and configurable connections via properties.
How do users connect to a schema registry?
Create a Kafka Broker connection and configure the Schema Registry section with the registry URL and credentials, then test the connection.
Which JetBrains IDEs can use it?
Available in JetBrains IDEs that support the Kafka or Big Data Tools plugin, including IntelliJ IDEA, DataGrip, GoLand, and DataSpell.