Redis Learning (1)---nosql introduction

I. The introduction of NoSQL

1. What is NoSQL

• NoSQL = not-only SQL
• Non-relational database

2. Why Use NoSQL

• High performance-highly concurrent read and write
• Huge Storage-efficient storage and access to massive data
• High Scalability && High availablity-highly scalable and highly available

Second, four categories of NoSQL databases

1. Key-value pair storage (Key-value) such as: Redis ...
2. Columnstore such as: Hbase ...
3. Document storage such as: MongoDB ....
4. Graphic database such as: Infogrid ...

Contrast:

Category	related products	apps	data Model	advantages	Disadvantages
Key-value pairs (key-value)	Tokyo Cabinet/tyrant, Redis, Voldemort, Berkeley DB	Content storage, primarily for high-access workloads that handle large amounts of data	A series of key-value pairs	Quick Query	The stored data is missing a structured
Column Store Database	Cassandra, HBase, Riak	Distributed File Storage System	To store the same column of data in a clustered type	Find Fast, scalable, More easily distributed extensions	function relative limitation
Document Type Database	CouchDB, MongoDB	Web applications (similar to Key-value, value is structured)	A series of key-value pairs	Data structure requirements are not strict	Query performance is not high, and the lack of uniform query syntax
Graphics database	NEO4J, Infogrid, Infinite Graph	Social networks. Referral system, etc., focused on building a relational map	Graph structure	Using Graph structure Correlation algorithm	Need to calculate the whole graph to get results, not easy to do distributed cluster

Third, the characteristics of NoSQL

• Easy to expand
• Flexible data Model
• Big data volume, high performance
• Highly Available

Redis Learning (1)---nosql introduction