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Advantages of NoSQL Databases - Get to know them now

This article covers the advantages of NoSQL Databases. #SQL databases are vertically scalable, NoSQL databases are horizontally scalable. SQL databases are table based, while NoSQL databases are document, key-value, graph or wide-column stores. 

SQL #databases are better for multi-row transactions, #NoSQL are better for unstructured data like documents or JSON.

#MongoDB, CouchDB, CouchBase, Cassandra, HBase, Redis, Riak, Neo4J are the popular NoSQL databases examples.

The structure of many different forms of data is more easily handled and evolved with a NoSQL database. 

NoSQL databases are often better suited to storing and modeling structured, semi-structured, and unstructured data in one database.


Main purpose of NoSQL?

NoSQL Database is a non-relational Data Management System, that does not require a fixed schema. 

It avoids joins, and is easy to scale. 

The major purpose of using a NoSQL database is for distributed data stores with humongous data storage needs. 

NoSQL is used for Big data and real-time web apps.


Reasons to Use a NoSQL Database includes:

1. Storing large volumes of data without structure. A NoSQL database doesn't limit storable data types.

2. Using cloud computing and storage. Cloud-based storage is a great solution, but it requires data to be easily spread across multiple servers for scaling.

3. Rapid development.


Main types of NoSQL databases?

There are four big NoSQL types: 

1. Key-value store

2. Document store, 

3. Column-oriented database,

4. Graph database. 

Each type solves a problem that can't be solved with relational databases. 

Actual implementations are often combinations of these. 

OrientDB, for example, is a multi-model database, combining NoSQL types.

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