Oracle Kafka Couchbase Data Pipeline architecture diagram

About This Architecture

Oracle-to-Couchbase real-time data pipeline using Debezium CDC, Kafka, and schema-managed streaming. A Python generator populates Oracle, Debezium captures changes via CDC connector, Kafka brokers the stream with Avro schema validation, and a Couchbase Sink Connector materializes data into a NoSQL store. The architecture demonstrates event-driven data flow from transactional source through streaming platform to serving layer, enabling raw, curated, and aggregated data tiers in Couchbase and downstream data lake. Fork this diagram to customize connectors, add transformation logic, or adapt for your source and sink systems.

People also ask

How do I build a real-time data pipeline from Oracle to Couchbase using Kafka and CDC?

This diagram shows a Debezium CDC connector capturing changes from Oracle, streaming them through Kafka with Avro schema validation via Schema Registry, and sinking the data into Couchbase through a dedicated sink connector. The architecture supports raw, curated, and aggregated data tiers flowing into a data lake, enabling event-driven analytics and serving layers.

Oracle Kafka Couchbase Data Pipeline

AutoadvancedKafkaDebeziumCDCCouchbaseOracledata-pipeline
Domain: Data EngineeringAudience: Data engineers building real-time CDC pipelines with Kafka and NoSQL stores
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Created by

July 24, 2026

Updated

July 25, 2026 at 11:09 PM

Type

data pipeline

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