The Neo4j Spark Connector is an open-source project that enables data transfer between Apache Spark and Neo4j, a graph database. The connector supports various Spark features, including Resilient Distributed Datasets (RDD), DataFrames, GraphX, and GraphFrames. It allows users to query and manipulate data in both systems using Cypher statements. A quickstart guide is provided, which includes downloading and installing Neo4j 3.0, creating a dataset, and running the Spark Shell with the connector and GraphFrames as packages. The connector supports various demos, including an RDD demo, a GraphX demo, and a GraphFrames demo. The source code is available on GitHub, and the connector is licensed under the Apache License 2.0. Users can provide feedback by raising GitHub Issues.