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 ...

Teradata Aster's take on this is that embedding a graph database store inside the product and allowing functions that perform graph data manipulation to be callable from SQL queries (much as SQL ...

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 ...

Neo4j is one such database. It’s open source, uses an SQL-like query language, follows the Property Graph Data Model and supports indexes, UNIQUE constraints and full ACID rules.