Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?

In the world of relational databases, SQL (structured query language) has been the dominant standard for years. It defines a way to search for the rows in a table that match specific criteria.

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

Graph databases—like other NoSQL databases—typically use their own custom query methodology instead of SQL. One commonly used graph query language is Cypher , originally developed for the ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

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 ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English ...

Dynamic T-SQL queries built from non-validated user input should never be included in a production application. Obtaining the Schema To generate a POCO class matching a query or stored procedure, use ...