Kafka Graph Processing: Visual Stream Analytics with Neo4j

What this post added

This post introduces the integration of Neo4j with Apache Kafka for graph processing and stream analytics. It details the use of the Neo4j-Streams plugin to ingest Kafka data into Neo4j, creating nodes and relationships. It also demonstrates how to apply graph algorithms like Common Neighbors to identify potential connections and output these results back to Kafka. The post provides configuration details for connecting Neo4j to Kafka using SASL_SSL and API keys, and includes a GitHub repository with code and setup instructions.