The number one graph database, Neo4j, is kicking off its Graph Connect event today and announcing a new version, 3.3. This version brings extended support for querying in Spark, ETL, analytics ...

(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.

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 ...

For example, TigerGraph recently used these benchmarks to scale its database to support 30 terabytes (TB) of graph data, up from 1 TB in 2019 and 5 TB in 2020.

Many graph insiders expect Cypher to become the standard language that allows graph databases to be searched, regardless of the product involved, which will power strong growth for the entire market.

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

The 10 hottest database startups of 2020 include companies with SQL, NoSQL, relational, cloud, graph and time series database software.

Therein lies the first challenge for organizations moving toward graph databases: SQL is a pervasive skill set, and Cypher and other graph query languages are a new skill to learn.

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 databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...