Skip to content
Neo4j Kafka Integrations, Docs =>
Kotlin Python
Branch: 3.5
Clone or download
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.github fixes #75: Github contribution Templates (#76) Nov 12, 2018
assembly fixes #88 (#89) Nov 26, 2018
common fixes #252: Source with non-existant topic hangs indefinitely (#257) Dec 11, 2019
consumer fixes #252: Source with non-existant topic hangs indefinitely (#257) Dec 11, 2019
distribution bump version Sep 20, 2019
doc
kafka-connect-neo4j bump version Sep 20, 2019
performance fixes 160: change the streams.sink.enabled to false (#176) May 30, 2019
producer
.gitignore Initial Commit Mar 19, 2018
.travis.yml integration tests using TestContainers fixes #11 (#36) Oct 4, 2018
pom.xml bump version Sep 20, 2019
readme.adoc

readme.adoc

Neo4j Streaming Data Integrations

neo4j loves confluent

This project integrates Neo4j with streaming data solutions.

Currently it provides an integration with Apache Kafka and the Confluent Platform.

The project contains these components:

Neo4j Kafka Connect Plugin

A Kafka Connect Sink plugin that allows to ingest events from Kafka to Neo4j via templated Cypher statements. (docs, article)

Kafka Connect Neo4j Sink

Neo4j Server Extension

  • Source: a Change-Data-Capture (CDC) implementation sends change data to Kafka topics (docs)

  • Sink: a Neo4j extension that ingest data from Kafka topics into Neo4j via templated Cypher statements (docs)

  • Neo4j Streams Procedures (Read & Write): Procedures to write to and read from topics interactively/programmatically (docs)

Documentation & Articles

Here are articles, introducing the Neo4j Extension and the Kafka Connect Plugin.

And practical applications of the extension for Building Data Pipelines with Kafka, Spark, Neo4j & Zeppelin (part 2).

And for exchanging results of Neo4j Graph Algorithms within a Neo4j Cluster.

Feedback & Suggestions

Please raise issues on GitHub, we also love contributions, so don’t be shy to send a Pull Request.

We would also love you to fill out our survey to learn more about your Kafka + Neo4j use-cases and deployments.

Installation Server Extension

You can run/test the extension locally with Docker, or install it manually into your existing Neo4j server.

  1. Download the jar-file from the latest release

  2. Copy neo4j-streams-<VERSION>.jar into $NEO4J_HOME/plugins

  3. Update $NEO4J_HOME/conf/neo4j.conf with the necessary configuration.

  4. Restart Neo4j

Development & Contributions

Build locally

mvn clean install

You’ll find the build artifact in <project_dir>/target/neo4j-streams-<VERSION>.jar

You can’t perform that action at this time.