Oracle Kafka Couchbase Streaming Pipeline architecture diagram

About This Architecture

Oracle-to-Couchbase streaming pipeline using Kafka as the central event backbone, with schema governance via Avro and the Schema Registry. Python-generated data flows from Oracle into Kafka, where the Couchbase Sink Connector materializes events into Couchbase across raw, curated, and aggregated zones. This architecture decouples source systems from serving layers, enabling independent scaling and schema evolution. Fork this diagram on Diagrams.so to customize connectors, add transformation logic, or adapt for your data lakehouse. Consider adding Kafka Connect error handling and dead-letter topics for production resilience.

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How do I build a real-time streaming pipeline from Oracle to Couchbase using Kafka with schema governance?

This diagram shows a complete streaming architecture where Python generates data into Oracle, Kafka ingests and distributes events with Avro schema validation, and the Couchbase Sink Connector materializes data into Couchbase across raw (Avro), curated (JSON), and aggregated serving zones. This pattern decouples source systems from serving layers and enables independent scaling.

Oracle Kafka Couchbase Streaming Pipeline

AutointermediateKafkaCouchbaseOraclestreaming pipelinedata engineeringschema registry
Domain: Data EngineeringAudience: data engineers building real-time streaming pipelines with Kafka and NoSQL stores
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Created by

July 24, 2026

Updated

August 18, 2026 at 4:20 PM

Type

data pipeline

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