A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

Graph database provider TigerGraph Inc. today announced version 3.0 of its namesake engine, saying it incorporates significant ease-of-use enhancements. Graph databases are a type of NoSQL database ...

The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Read now Fifty years ago, relational databases were neither ubiquitous nor standardized.

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Perhaps the most important decision that any company will ever make is how they intend to structure and store the information they will preserve to encapsulate the goods and services they provide to ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Bitnine CEO, Cheolsun Kang, announced the release of AgensGraph v1.1 on March 15, 2017. AgensGraph v1.1 will deliver future-oriented value and growth. AgensGraph ...

Neo4j Inc. today released what it calls the most significant evolution of its graph database engine since the company was founded in 2007. The 4.0 release features unlimited scalability, intelligent ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...

Query compilation and execution form the critical backbone of database systems, where high-level queries are translated into efficient low-level machine code and then executed to retrieve data.