Public Repository

Last pushed: a year ago
Short Description
Neo4j is a highly scalable, robust native graph database.
Full Description

Supported tags and respective Dockerfile links

THESE IMAGES ARE VERY EXPERIMENTAL; THEY ARE PROVIDED ON A BEST-EFFORT BASIS WHILE docker-library/official-images#2289 IS STILL IN-PROGRESS (which is the first step towards proper multiarch images)


This image is built from the source of the official image of the same name (neo4j). Please see that image's description for links to the relevant Dockerfiles.

If you are curious about specifically how this image differs, see the Jenkins Groovy DSL scripts in the tianon/jenkins-groovy GitHub repository, which are responsible for creating the Jenkins jobs which build them.

Quick reference

What is Neo4j?

Neo4j is a highly scalable, robust, native graph database. It is used in mission-critical apps by thousands of leading startups, enterprises, and governments around the world. You can learn more here.

How to use this image

Start an instance of neo4j

You can start a Neo4j container like this:

docker run \
    --publish=7474:7474 --publish=7687:7687 \
    --volume=$HOME/neo4j/data:/data \

which allows you to access neo4j through your browser at http://localhost:7474.

This binds two ports (7474 and 7687) for HTTP and Bolt access to the Neo4j API. A volume is bound to /data to allow the database to be persisted outside the container.

By default, this requires you to login with neo4j/neo4j and change the password. You can, for development purposes, disable authentication by passing --env=NEO4J_AUTH=none to docker run.

Note on version 2.3

Neo4j 3.0 introduced several major user-facing changes, primarily the new binary Bolt protocol. This is not available in 2.3 and as such, there is no need to expose the 7687 port. Due to changes made to the structure of configuration files, several environment variables used to configure the image has changed as well. Please see the 2.x specific section in the manual for further details.

You can start an instance of Neo4j 2.3 like this:

docker run \
    --publish=7474:7474 \
    --volume=$HOME/neo4j/data:/data \


For more examples and complete documentation please go here for 2.x and here for 3.x.

Docker Pull Command

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