This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected bundles, ...
NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...
Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...
Graph database startup TigerGraph Inc. is adding more features and functionality to the cloud-native version of its popular product. Launched in September, TigerGraph Cloud is a cloud-hosted graph ...
The way organisations store, manage and analyse data will always be a challenging issue given the constant assault of data on corporate IT systems. It’s as though IT teams are always playing catch-up.
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 are gaining attention as enterprises work on their next-generation artificial intelligence (AI) applications. While still a bit of an outlier, graph-oriented databases continue to find ...
The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...
The NoSQL database gets its name from what it isn’t: It’s a database that does not use Structured Query Language (SQL) to access the data. Some of the well-known databases, such as Oracle and ...
This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is an RDF store database? RDF stores enable modeling, representation and ...
The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...