The Apache Spark community is collaborating with the growing graph data movement to extend the capabilities of Spark. Databricks contributor Xiangrui Meng is sponsoring a project to integrate Cypher queries and graph algorithms from the GraphFrames project into the core Spark project as part of Spark 3.0, slated for release mid-year 2019. This would bring Cypher queries into the core Spark project, aligning with the growing push for a standard property graph querying language, also known as Graph Query Language (GQL). The community is seeking feedback and support from users to move forward with this initiative, which has been compared to the previous push for GQL, emphasizing the importance of industry unity in graph data management.