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 ...

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 ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language ... column store, and graph. Each one fits a different use case. Mullins summarizes the strengths ...

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 ...

Neo Technology, the commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java ... "one tenth the amount of code as in SQL." Neo4j also supports Java API and RESTful HTTP API ...

One of the most interesting trends in the computer world during the past few years has been the rapid growth of NoSQL databases. The term may be accurate, in that NoSQL databases don't use SQL in ...