Here is a closer look at what graph databases are, why they’re unlike other databases, and what kinds of data problems they’re built to solve. In a traditional relational or SQL database ...

Graph databases are optimized to handle queries that ... Microsoft added special node and edge tables to SQL Server to make it simpler to execute more complicated searches. These tables can ...

Graph databases are the fastest growing category in all of data ... There are no hidden assumptions, such as in relational SQL where knowledge of tables in the FROM clause is needed as they will ...

(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 databases are ...

Ely Turkenitz, IS Manager for Santa Clara County in northern California, said “graph databases will not replace the Oracle, SQL Server, MySQLs of the world; it’s not a replacement, it’s an ...

Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...

The challenge with graph databases is building that skills base. Unlike relational, it doesn't have 40 years of history in the enterprise and a common query language, SQL, around which to draw a ...

RDF is a graph data model that has been around ... SPARQL adapters exist for anything from relational databases (which by extension cover any ANSI-SQL compliant system such as Hadoop data lakes ...

Graph databases differ from traditional SQL databases in that they store both data and the relationships among the data. The relationships among data points are as important as the data points ...

Emerging graph database benchmarks are already helping to ... The LBDC has also begun collaborating with the ISO working group for the SQL standard. As a result of these efforts, Boncz expects ...