(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.

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

While there are several open-source graph query languages that have been widely adopted, such as Cypher, Gremlin, and SPARQL, TigerGraph has a new query language, GSQL. GSQL combines SQL-like ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

IBM today announced the general availability of Graph, a service for the Bluemix cloud offering that the company said helps set up a relatively new, high-performing type of database.

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 ...

That is, they did until timbr came along. timbr employs standard SQL – the most widely known database language, to provide knowledge graph functionality based on Semantic Web principles and to ...

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational, search, and AI capabilities within Spanner. This new database ...