Neo4j is an open source graph database which you can download from

You can use it to represent information with nodes and relationships in a property graph. Neo4j doesn’t use indexes which allows it to traverse large graphs really quickly with so-called graph algorithms. For more information on these unique graph algorithms see: Neo4j Graph Algorithms

Hop supports Neo4j through the following metadata objects

Perspective: Execution lineage

You can use Neo4j to store logging and execution lineage of your workflows and pipelines. The way you do this is simply by setting the variable NEO4J_LOGGING_CONNECTION to the name of the Neo4j Connection where you want the logging and lineage to be written to.

The Neo4j plugin offers a separate perspective to query this logging and lineage information. For example, it allows you to quickly jump to the place where an error occurred. This neat trick is performed by asking the database to find the shortest path between and execution node where an error occurred and without children and the "grand parent" node. The path you get is the exact path that was followed from for example the "grand parent" workflow to the exact transform where an error occurred.

Metadata Types

Workflow Actions

Pipeline Transforms

  • Neo4j Cypher: execute a Cypher query on a Neo4j database using parameter info from input fields

  • Neo4j Generate CSVs: Generate CSV files for nodes and relationships to be used with neo4j-import

  • Neo4j Get Log Info: Queries the Neo4j logging graph for execution info

  • Neo4j Graph Output: Writes to a Neo4j graph using an input fields mapping.

  • Neo4j Import: Runs a Neo4j import command using the provided CSV files

  • Neo4j Output: Write nodes and/or relationships to a Neo4j graph

  • Neo4j Split Graph: Splits the nodes and relationships of a Neo4j graph


The Neo4j examples included in the release downloads is described in document: