Why and Where for MongoDB, Cassandra, CouchDB, HBase, Membase, Redis

More and more people are starting to use NoSQL. I think this is extremely good. NoSQL can make our life better in a lot of situations. In this post I will try make a list of current NoSQL solutions that exist on the market and when we should use each other.

MongoDB
Why

• Dynamic query
• Content is stored as documents
• Big database that need to be very fast

Where

• Properties are stored like query and index
• Can be used for voting system, CMS or comment storage

Cassandra
Why

• When you make a lot of updates and insert
• Reading data is not the main scope of the database (writes are faster than reads)
• Content is stored as column
• High availability

Where

• Can be used with success for logging
• Financial industry or any place where we work with a lot of data that is needed to be written
• Basket of an e-commerce application

CouchDB
Why

• For data that don’t change very often (insert and read and NOT update)
• We have a lot of predefined queries and we need versioning support

Where

• Is a great database for CMS and CRM.

HBase
Why

• When you do data analyzing

Where

• Works great in combination with Hadoop

Membase
Why

• When we need high concurrency
• When the latency is very low and we want the latency to be minimal

Where

• Backend of a game or a system that offer data in real time

Redis
Why

• When we need to make a lot of updates
• When the database is not too big and can be kept in memory

Where

• Can be used when we have a real time communication, for example a stock market with prices

If you know other NoSQL solutions or other strong points for this frameworks, please tell me.