Flink CDC is a streaming data integration tool
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Updated
Mar 29, 2026 - Java
Flink CDC is a streaming data integration tool
Flamingock brings Change-as-Code (CaC) to your entire stack. It applies versioned, auditable changes to the external systems your application depends on — such as schemas, message brokers, databases, APIs, cloud services, and any other external system your application needs.
An *open specification* multi-language, multi-protocol to describe your Data Protection rules and Personal Identifying Information as part of your schema
Kafka Schema Registry Spring Boot demo with Avro producer/consumer and PostgreSQL persistence
A Java serializer for evolving data-structures
Kafka Schema Evolution & Contract Enforcement demo with Avro, Schema Registry and Spring Kafka.
Demo - Schema evolution using Apache Avro and Google Protocol buffers
Kafka SchemaRegistry and schema evolution at work
Avro Deserialization with Schema Registry
EvolveDB focuses on model-driven schema evolution for relational databases. EvolveGDB extends this work towards model-driven schema transformation for graph databases.
Model-driven approach to maintain data integrity for evolution of column family DBMSs
Kafka Training Examples
Diff visualization between 2 SQL schemas
🔧 Showcase fail-fast Kafka schema validation in Spring Boot with this demo, preventing broken deployments through contract enforcement and Avro support.
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