(Image: DB engines) 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.

Graph database vs. relational database In a traditional relational or SQL database, the data is organized into tables.

(Related: NewSQL: Trying to solve what SQL and NoSQL can’t on their own) Hence the rise of another type of database, optimized for connected data: the graph database.

IBM releases Graph, a service that can outperform SQL databases by Dan Richman on July 27, 2016 at 3:25 pm Share 1 Tweet Share Reddit Email ...

Key Benefits of a Graph Database Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed ...

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.

Graph platform Neo4j today announced the general availability of Neo4j 5, the latest version of its cloud-ready graph database. Neo4j is following up on its achievements in 2021, which include ...

Google’s move to add graph processing capabilities to Spanner is consistent with the trend of DBMS firms, who want to be seen as providing strategic database support in helping enterprises ...

Startups like TigerGraph, MongoDB, Cambridge Semantics, DataStax, and others compete with Neo4j in a graph database market expected to be worth $2.4 billion by 2023, in addition to incumbents like ...

TigerGraph may have done just that for graph databases. Written by George Anadiotis, Contributor Sept. 19, 2017, 5:42 a.m. PT TigerGraph is a new and impressive entry in the graph database world ...