By Alastair Green (Lead, Query Languages Standards and Research Group at Neo4j) | 12 September 2019The international committees that develop the SQL standard have voted to initiate GQL (Graph Query Language) as a new database query language.
By Alastair Green (Lead, Query Languages Standards and Research Group at Neo4j) | 19 June 2019The GQL standard project is up for the final vote in the ISO/IEC ballot: plans to create a standard property graph query language GQL took a critical step forward, this past Friday June 14th.
By Alastair Green (Lead, Query Languages Standards and Research Group at Neo4j) | 14 February 2019As part of the preparations for a forthcoming Spark 3.0 release, the Apache Spark development community has just completed a positive vote for a Spark Project Improvement Proposal to add Property Graphs based on DataFrames to Spark. Based on the achievements of the ongoing Cypher for Apache Spark project, Spark 3.0 users will be able to use the well-established Cypher language for graph query processing, as well as having access to graph algorithms stemming from the GraphFrames project.
By Stefan Plantikow | 25 October 2017The first public alpha release of the source code for Cypher(TM) for Apache Spark(TM) (CAPS) is now available. We discuss key features, such as support for working with multiple graphs and data source integration.
By Petra Selmer | 20 October 2017We provide an overview of our new References page: a collection of research papers and presentations on the concepts underpinning the current and future versions of Cypher.
By Alastair Green | 20 October 2017This presentation discusses the history of the SQL Standard, and describes upcoming work, including property graph querying.
By Petra Selmer | 27 July 2017We describe issues with the current aggregation and grouping semantics in Cypher, and discuss approaches to address these.
By Petra Selmer | 17 July 2017In this article, we describe the new MANDATORY MATCH clause.