Connected applications and analytics demand up-to-the-moment data.

Neo4j’s native Change Data Capture (CDC) streams every graph change in real time, while Google Cloud Pub/Sub delivers a globally scalable, reliable event bus for streaming data across distributed systems.

Together, they power event-driven architectures that keep your graph and cloud services in sync.

Built for Cloud-Native Systems

This architecture is configuration-driven and uses officially supported connectors, so you avoid custom code and create reliable, decoupled pipelines that scale with your data ecosystem.

Activate Real-Time Graph-Powered Pipelines

Publish graph updates into Pub/Sub

Push Neo4j changes to other systems like analytics platforms, micro-services, or AI pipelines.

Ingest external events into Neo4j

Feed updates from Pub/Sub topics back into your graph to maintain a unified, current dataset.

Achieve bidirectional sync with Kafka Connect as the integration layer

Configure connectors instead of building custom ETL.