Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

The gist of what's going on is that we have a war for graph database domination, and query language is a key battle to be won. SQL did not arrive at universal adoption overnight. If there is a ...

As a result of these efforts, Boncz expects the updated SQL:2023 standards to include graph query functionality (SQL/PGQ – Property Graph Query) and the release of an entirely new standard graph ...

GSQL combines SQL-like query syntax with Cypher-like graph navigation, plus procedural programming and user-defined functions. TigerGraph can convert Cypher to GSQL for people moving from a Neo4j ...

Graph querying of data housed in massive data lakes and data warehouses has been part of the big data and analytics scene for many years, but it hasn’t always been a particularly easy process.

A peek at DB-Engines graph database comparison (graphed in a slightly non-intuitive logarithm scale) shows steady growth for Neo4j. Titan and OrientDB, a multi-modal database, show some growth. But ...

The relational database is primarily oriented toward the modeling of objects (entities) and relationships. Generally, the relational model works best when there are a relatively small and static ...

One of the human costs of replacing a SQL database with Neo4j is education: learning the Cypher query language, the two libraries, and graph database design. (A similar statement could be made ...

George Anadiotis, Linked Data Orchestration/ZDNet: “2018 was the Year of the Graph, the year graph databases went mainstream. I have no reason to think this will change, it will only accelerate.