Loading data into Neo4j often starts with a number of simple scripts. As your project grows, so does the number and size of your scripts: they quickly become hard to scale, hard to manage, and hard to maintain.

Apache Hop is a new open-source data orchestration platform that was designed from the ground up to tackle these problems. In Hop, data developers visually design data pipelines that can run on the Hop native engine, or on Spark, Flink, Google Dataflow over Apache Beam.

Hop has built-in life cycle management functionality to help you manage your projects and environments, version control with git, run unit tests, and more.

Apache Hop is unparalleled in its support for Neo4j with over 20 plugins to design, write, and read from your graphs.