The Apache Spark community has completed a positive vote for a Project Improvement Proposal (SPIP) to add property graphs based on DataFrames to Spark, which will enable users to use the Cypher graph query language and access graph algorithms from the GraphFrames project. This is a significant step forward for standardized approach to graph analytics in Spark, reflecting collaboration by many contributors. The development of a single standard declarative query language called GQL (Graph Query Language), drawing on Cypher's ASCII-art representation, has also been proposed, with plans to create an international standard specified and maintained by the ISO working group. A W3C workshop on graph data management standards will bring together experts from RDF, labelled property graph, and SQL standards specialists to figure out ways of creating bridges between these disparate but related data models and languages. An openCypher Implementers Meeting (oCIM) will follow the workshop, discussing language improvement requests and proposals, including carrying out Cypher queries that project new graphs and incorporating those queries in parameterized views. The goal is to create a managed transition from Cypher to GQL while preserving familiar features and ensuring minimal disruption to existing customers and their applications.