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 ...

(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 ...

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. Product ...

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 ...

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 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 ...

The future of SQL lies in this ability to evolve as it helps data managers address emerging data paradigms and technologies. This is particularly true in the nascent world of graph and vector ...

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 ...

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 ...