key-value DBS

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http://highlyscalable.wordpress.com/2012/03/01/nosql-data-modeling-techniques/

NoSQL Data Modeling Techniques « Highly Scalable Blog

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This aspect of NoSQL is well-studied both in practice and theory because specific non-functional properties are often the main justification for NoSQL usage and fundamental results on distributed systems like the CAP theorem apply well to NoSQL systems. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques.
In computing , NoSQL is a broad class of database management systems that differ from the classic model of the relational database management system (RDBMS) in some significant ways, most important being they do not use SQL as their primary query language.

NoSQL - Wikipedia, the free encyclopedia

http://en.wikipedia.org/wiki/NoSQL
https://github.com/twitter/flockdb FlockDB is much simpler than other graph databases such as neo4j because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

twitter/flockdb - GitHub

Spring Data Neo4j E-book Available Now! http://neo4j.org/

neo4j: NOSQL For the Enterprise

Kyoto Cabinet is a library of routines for managing a database. http://fallabs.com/kyotocabinet/

Kyoto Cabinet: a straightforward implementation of DBM