Neo4j Connector for Apache Spark is an integration tool that enables bi-directional movement of data between Neo4j graph database and Apache Spark, a powerful ETL tool. This connector allows users to leverage the strength of both platforms, with Neo4j providing advanced graph functionality and Spark offering data orchestration capabilities. The connector uses Neo4j's official Bolt driver for Java, making it easy to connect and work with nodes, relationships, and queries in both directions. It is ideal for ETL work with Neo4j, enabling users to assemble and transform data, reshape tables to graphs, enrich data, and further process insights derived from graph analytics. The connector is also suitable for data scientists and developers who need to manipulate data between Spark and other sources, such as Oracle or Snowflake.