GQL
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https://www.gqlstandards.org/ GQL is an upcoming International Standard language for property graph querying that is currently being created. The idea of a standalone graph query language to complement SQL was raised by ISO SC32/ WG3 members in early 2017, and is echoed in the GQL manifesto of May 2018. GQL supporters aim to develop a rock-solid next-generation declarative graph query language that builds on the foundations of SQL and integrates proven ideas from the existing openCypher, PGQL, GSQL, and G-CORE languages. The proposed SQL:2020 Property Graph Query Extensions already build on these existing languages. A number of open source projects and vendors have graph query language projects and/or products. This list is an attempt identify those projects. Apache Spark - https://spark.apache.org/ ArangoDB - https://www.arangodb.com AnzoGraph by Cambridge Semantics - https://www.cambridgesemantics.com/product/anzograph/ JanusGraph - http://janusgraph.org/ Memgraph - https://memgraph.com Microsoft - https://developer.microsoft.com/en-us/graph/docs/concepts/overview Neo4j - https://neo4j.com/ OpenCypher - https://www.opencypher.org/ Oracle - https://www.oracle.com/technetwork/database/options/spatialandgraph/overview/propertygraph-4476121.html Postgres - https://www.postgresql.org/about/news/1848/ Redis Graph - https://redisgraph.io/ SAP Hana Graph - SAP Hana Graph Reference TigerGraph - https://www.tigergraph.com/ Tinkerpop - https://tinkerpop.apache.org W3C SPARQL 1.1 Query Language - https://www.w3.org/TR/sparql11-query/ GQL will incorporate this prior work, as part of an expanded set of features including regular path queries, graph compositional queries (enabling views) and schema support.