Yandex Cloud
Search
Discuss with expertTry it for free
  • Customer Stories
  • Documentation
  • Blog
  • All Services
    • Cloud Interconnect
    • Cloud Backup
    • Cloud Registry
    • Yandex AI Studio
    • Compute Cloud
    • Object Storage
    • Managed Service for Kubernetes®
    • Yandex BareMetal
    • Smart Web Security
    • Security Deck
    • Managed Service for PostgreSQL
    • Managed Service for ClickHouse®
    • Monium
    • Cloud CDN
    • Network Load Balancer
    • Virtual Private Cloud
    • Cloud DNS
    • Application Load Balancer
    • Yandex Cloud Video
    • Stackland
    • Yandex Cloud Router
    • Yandex Managed Service for Trino
    • Managed Service for MySQL®
    • Managed Service for Valkey™
    • Managed Service for Apache Spark™
    • Yandex StoreDoc
    • Managed Service for OpenSearch
    • Managed Service for Apache Kafka®
    • Data Transfer
    • Yandex MPP Analytics Engine for PostgreSQL
    • Yandex Managed Service for Apache Airflow®
    • Data Processing
    • Yandex MetaData Hub
    • Managed Service for YDB
    • Managed Service for Sharded PostgreSQL
    • Managed Service for YTsaurus
    • Yandex WebSQL
    • DataLens
    • Yandex Search API
    • SpeechSense
    • SpeechKit
    • DataSphere
    • Vision OCR
    • Translate
    • Yandex Identity Hub
    • Key Management Service
    • Certificate Manager
    • Yandex Lockbox
    • Audit Trails
    • SmartCaptcha
    • Cloud Desktop
    • SourceCraft Code Assistant
    • Container Registry
    • Managed Service for GitLab
    • Managed Service for Prometheus®
    • Cloud Functions
    • API Gateway
    • Yandex Cloud Postbox
    • Message Queue
    • Serverless Integrations
    • IoT Core
    • Data Streams
    • Serverless Containers
    • Cloud Notification Service
    • Yandex Query
    • Identity and Access Management
    • Yandex Cloud Console
    • Resource Manager
    • Yandex Cloud Billing
    • Yandex Cloud Quota Manager
    • Cloud Apps
  • System Status
  • Marketplace
    • Featured
    • Infrastructure & Network
    • Data Platform
    • AI for business
    • Security
    • DevOps tools
    • Serverless
    • Monitoring & Resources
  • All Solutions
    • By industry
    • By use case
    • Economics and Pricing
    • Security
    • Technical Support
    • Start testing with double trial credits
    • Cloud credits to scale your IT product
    • Gateway to Russia
    • Cloud for Startups
    • Center for Technologies and Society
    • Yandex Cloud Partner program
    • Price calculator
    • Pricing plans
  • Customer Stories
  • Documentation
  • Blog
© 2026 Direct Cursus Technology L.L.C.
Yandex MetaData Hub
  • About Yandex MetaData Hub
    • Getting started
      • Schema registry
      • JSON schema compatibility
      • Content models and JSON schema evolution issues
      • Compatibility policies
    • Service roles for access management
    • Troubleshooting
  • Access management
  • Quotas and limits
  • Pricing policy
  • Public materials
  • Release notes

In this article:

  • Protobuf schema compatibility policies
  • JSON schema compatibility policies
  1. Schema Registry
  2. Concepts
  3. Compatibility policies

Compatibility policies

Written by
Yandex Cloud
Updated at June 30, 2026
View in Markdown
  • Protobuf schema compatibility policies
  • JSON schema compatibility policies

A compatibility policy consists of rules Yandex Schema Registry uses to check the compatibility of the new schema with earlier versions at the namespace level.

You can select a compatibility policy when creating or updating the namespace. Compatibility policies are available for Protobuf and JSON Schema.

Protobuf schema compatibility policiesProtobuf schema compatibility policies

The following policies are available for Protobuf schemas:

  • Confluent: Based on the best practices for the evolution of Protobuf schemas. For more on schema evolution, see this Protobuf guide.

  • buf: Based on the Buf v1 standards. For more information about the checks, see this specification.

JSON schema compatibility policiesJSON schema compatibility policies

The following policies are available for JSON schemas:

  • Confluent: Follows the Confluent Schema Registry standards and implements mathematically accurate compatibility checks. This policy does not allow adding or removing optional parameters in object fields. In certain cases, e.g., when working with queues, this limitation may be excessive.

  • Optional friendly: Uses closed content model for the producer and open one, for the consumer, where only the producer schema is registered. The compatibility check involves converting the consumer schema from an open content model to a closed one and comparing it with the registered producer schemas. This policy allows adding or removing optional parameters in object fields while maintaining full transitive compatibility. Learn more about how this policy works.

Was the article helpful?

Previous
Content models and JSON schema evolution issues
Next
Service roles for access management
© 2026 Direct Cursus Technology L.L.C.