Four categories of NoSQL databases with examples (not just Big Data)

1. Key-values Stores
The main idea here is using a hash table where there is a unique key and a pointer to a particular item of data. The Key/value model is the simplest and easiest to implement. But it is inefficient when you are only interested in querying or updating part of a value, among other disadvantages.
Examples: Tokyo Cabinet/Tyrant, Redis, Voldemort, Oracle BDB, Amazon SimpleDB, Riak
2. Column Family Stores
These were created to store and process very large amounts of data distributed over many machines. There are still keys but they point to multiple columns. The columns are arranged by column family.
Examples: Cassandra, HBase
3. Document Databases
These were inspired by Lotus Notes and are similar to key-value stores. The model is basically versioned documents that are collections of other key-value collections. The semi-structured documents are stored in formats like JSON. Document databases are essentially the next level of Key/value, allowing nested values associated with each key.  Document databases support querying more efficiently.
Examples: CouchDB, MongoDb
4. Graph Databases
Instead of tables of rows and columns and the rigid structure of SQL, a flexible graph model is used which, again, can scale across multiple machines. NoSQL databases do not provide a high-level declarative query language like SQL to avoid overtime in processing. Rather, querying these databases is data-model specific. Many of the NoSQL platforms allow for RESTful interfaces to the data, while other offer query APIs.

Examples: Neo4J, InfoGrid, Infinite Graph

One thought on “Four categories of NoSQL databases with examples (not just Big Data)

  1. Amazon SimpleDB comes under key-value pair stores. Amazon SimpleDB can be useful for those who need a non-relational database for storage of smaller, non-structural data. Amazon SimpleDB has restricted storage size to 10GB per domain. Amazon SimpleDB offers simplicity and flexibility. SimpleDB automatically indexes all data. Amazon SimpleDB pricing is based on your actual box usage. You can store any UTF-8 string data in Amazon SimpleDB.

    On the different note- SDB Explorer provides an industry-leading and intuitive Graphical User Interface (GUI) to explore Amazon SimpleDB service in a thorough manner, and in a very efficient and user friendly way.

    http://www.sdbexplorer.com/

Leave a Reply

Your email address will not be published. Required fields are marked *