Graph databases like Neo4J, Titan and Tagged organize data ... The default of speaking in terms of categories (SQL, NoSQL, NewSQL) vs. use cases and problems makes it hard to choose the best solution.

The most prominent difference between NoSQL and SQL lies in how the ... Many of the other types of databases share some structural similarities with NoSQL. Graph databases like Neo4J and ArrangoDB ...

It's not so much a black and white, SQL vs. NoSQL situation ... all relations and routing requirements fit really well in a graph database. So we use MongoDB as a primary data store for all ...

In fact, many NoSQL databases have added support for SQL-style queries. But in a world where enterprises are deluged by unstructured data from mobile, social, cloud, sensors, and other sources ...

Academic researchers typically refer to these databases as structured storage, which includes classic relational databases as a subset. NoSQL ... the difference between MySQL and SQL Server.

The fundamental difference between SQL and NoSQL is not all that complicated. Each has a different philosophy for how data should be stored and retrieved. With SQL databases, all data has an ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

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 ...

Sometimes you will also see it revered to as 'not only SQL ... architecture. The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB, for example ...