How to choose the NoSQL database that works best for you
Editor to share with you how to choose the most suitable for your NoSQL database, I believe that most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to know it!
How to choose the NoSQL database that works best for you
Four categories of NoSQL
1.key-value storage
ExamplesTokyoCabinet/Tyrant,Redis,Voldemort,OracleBDB
Typical application scenario content caching is mainly used to deal with the high access load of a large amount of data, but also for some log systems and so on.
The data model Key points to the key-value pair of Value, which is usually implemented by hashtable
The speed of finding strengths is fast.
Weak item data is unstructured and is usually treated only as string or binary data.
two。 Column database
ExamplesCassandra,HBase,Riak
Distributed file system in typical application scenarios
The data model is stored in column clusters, where the same column of data is stored together.
Strong item search is fast and scalable, and it is easier for distributed expansion.
The function of weakness is relatively limited.
How to choose the NoSQL database that works best for you
3. Document database
ExamplesCouchDB,MongoDb
Typical application scenario Web application (similar to Key-Value, Value is structured, except that the database can understand the contents of Value)
The key-value pair corresponding to the data model Key-Value, and Value is structured data
Strengths: the data structure is not strict, the table structure is variable, and there is no need to define the table structure in advance like the relational database.
Weak query performance is not high, and lack of unified query syntax.
4. Graph structure database
ExamplesNeo4J,InfoGrid,InfiniteGraph
Typical application scenarios, social networks, recommendation systems, etc. Focus on building a relationship map
Data model graph structure
Strengths use graph structure correlation algorithms. Such as shortest path addressing, N-degree relation search, etc.
Weaknesses often need to calculate the whole graph to get the required information, and this structure is not easy to do distributed cluster scheme.
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