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= Neo4j Streaming Data Integrations :docs: https://neo4j-contrib.github.io/neo4j-streams/

image::https://github.com/neo4j-contrib/neo4j-streams/raw/gh-pages/3.4/images/neo4j-loves-confluent.png[]

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 https://www.confluent.io/connector/kafka-connect-neo4j-sink/[Kafka Connect Sink plugin] that allows to ingest events from Kafka to Neo4j via templated Cypher statements. (link:{docs}#_kafka_connect_sink_plugin[docs], https://www.confluent.io/blog/kafka-connect-neo4j-sink-plugin[article])

image::https://www.confluent.io/wp-content/uploads/Kafka_Connect_Neo4j_Sink.png[width=300,link=https://www.confluent.io/connector/kafka-connect-neo4j-sink/]

== Neo4j Server Extension

  • Source: a Change-Data-Capture (CDC) implementation sends change data to Kafka topics (link:{docs}#_neo4j_streams_source[docs])
  • Sink: a Neo4j extension that ingest data from Kafka topics into Neo4j via templated Cypher statements (link:{docs}#_neo4j_streams_sink[docs])
  • Neo4j Streams Procedures (Read & Write): Procedures to write to and read from topics interactively/programmatically (link:{docs}#_procedures[docs])

== Documentation & Articles

Read more at http://r.neo4j.com/kafka

Here are articles, introducing the https://medium.com/neo4j/a-new-neo4j-integration-with-apache-kafka-6099c14851d2[Neo4j Extension] and the https://www.confluent.io/blog/kafka-connect-neo4j-sink-plugin[Kafka Connect Plugin].

And practical applications of the extension for https://medium.freecodecamp.org/how-to-leverage-neo4j-streams-and-build-a-just-in-time-data-warehouse-64adf290f093[Building Data Pipelines with Kafka, Spark, Neo4j & Zeppelin] (https://medium.freecodecamp.org/how-to-ingest-data-into-neo4j-from-a-kafka-stream-a34f574f5655[part 2]).

And for exchanging results of https://medium.freecodecamp.org/how-to-embrace-event-driven-graph-analytics-using-neo4j-and-apache-kafka-474c9f405e06[Neo4j Graph Algorithms within a Neo4j Cluster].

== Feedback & Suggestions

Please raise https://github.com/neo4j-contrib/neo4j-streams/issues[issues on GitHub], we also love contributions, so don't be shy to send a Pull Request.

We would also love you to https://goo.gl/forms/VLwvqwsIvdfdm9fL2[**fill out our survey**] to learn more about your Kafka + Neo4j use-cases and deployments.

== Installation Server Extension

You can run/test the extension link:{docs}#docker[locally with Docker], or install it manually into your existing Neo4j server.

  1. Download the jar-file from the https://github.com/neo4j-contrib/neo4j-streams/releases/latest[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

Testing the link:{docs}#_docker_compose_file[Kafka Connect Plugin locally with Docker].

==== License

Neo4j Streams is licensed under the terms of the Apache License, version 2.0. See LICENSE for more details.

//// == Documentation Links

=== Kafka Connect Plugin

link:doc/asciidoc/kafka-connect/index.adoc[Kafka Connect Plugin]

=== Streams Producer

link:doc/asciidoc/producer/configuration.adoc[Configuration]

link:doc/asciidoc/producer/patterns.adoc[Patterns]

=== Streams Consumer

link:doc/asciidoc/consumer/configuration.adoc[Configuration]

=== Streams Procedures

link:doc/asciidoc/procedures/index.adoc[Procedures]

=== Docker

link:doc/asciidoc/docker/index.adoc[Docker]

////


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