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 ...

Model, store and query complex customer data So does it make sense for CIOs to use both relational databases and graph databases? Or should they standardize across the enterprise on one or the other?

Every decade seems to have its database. During the 1990s, the relational ... of JSON data stores such as MongoDB and CouchDB had put a lot more focus on the challenges of indexing non ...

Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and ...

Here’s how five industries are taking advantage of graph databases’ extremely fast relational query performance across distributed data stores. 1. Gaining a 360-degree view of customers ...

Some RDF stores ... graph databases are not ubiquitous like relational systems, which still dominate the market. Probably the main reason is better predictability in working with lower data ...

When Teradata bought Aster Data in 2011, it set out on a quest to bring (then) esoteric Big Data technology to the relational ... is that embedding a graph database store inside the product ...

The most popular database products today, as reported by DB Engines rankings, are the relational ... Graph Databases, or Triple Stores): information processing in applications that connect multipl ...

Relational databases can find single ... Oracle offers a separate Graph Server that integrates with its main products, and the combination will store data in both graph and traditional tables.

Another type of non-relational database is the "object database," which stores data consistent with their object model (see object database). Routine queries to a relational database often require ...