What is NoSQL

 

 What is NoSQL

• Carl Strozzintroduced the NoSQL concept in 1998 
• Non-relational Data Management System 
• Stores data in a format other than tabular relations
• Supports structural, semi-structural as well as non-structural data 
• For distributed data stores •Avoid use of join
   
  Features of NoSQL 
  •Non-relational 
  •Schema-free 
  •Simple API
  •High Availability
  •High Scalability 
  •Open Source
  
  
  
  Use Cases of NoSQL 
  •Fraud detection and identity authentication 
  •Inventory and catalog management 
  •Personalization, recommendations and customer   experience 
  •Internet of things (IoT) and sensor data 
  •Financial services and payments
  •Messaging 
  •Logistics and asset management 
  •Content management systems 
  •Digital and media management
   
  Types of NoSQL Databases
  Key-value Store
   A collection of key–value pairs •Stores data as a hash table•Used as a collection, dictionaries, associative arrays, etc.•Common use cases include storing user preferences or caching•Examples –Redis, Memcached, Riak, Hazelcast, Apache Ignite 
   
  Wide-column stores 
  •It uses tables, rows, and columns, but format of the columns can vary 
  •Every column is treated separately and stored on separate disk 
  •Great when you predict what your query patterns will be
  •Widely used to manage data warehouses, business intelligence, CRM, Library card catalogs 
  •Examples –Hbase, Cassandra, Big Table
   

  

  
  
   
  Graph based 
  •Stores data in nodes, edges and related properties
  •Nodes store information about people, places, and things 
  •Edges store information about the relationships between the nodes
  •Relationships between data as a priority
  •Common use cases include social networks, fraud detection, and recommendation engines
  •Examples –Neo4J, ArangoDB, OrientDB 
   
  

  
   
  Document-oriented 
  •Stores data in documents similar to JSON objects
  •Key-value pairs, key-arrayed value pairs or embedded key-value pairs
  •Comes with an API or query language 
  •Used as general purpose database with real-time analytics, e-commerce applications and so on
  •Example –MongoDB, CouchDB, Elasticsearch