• Structure :- Non- Relation Includes Various Models • Subtypes Document-based :- JSON-Like Documents (eg., MongoDb,CauchDB) Key Value stores :- Simple Key-Value pairs (eg.,Redis DynomoDB) Colum-based :- Colum-Format (eg., Cassandra,HBase) Graph-based :- Notes And Edges For Relationship (e.g., Neo4) • Strengths:- Schema Flexibility Scalability (especially horizontal) Better for unstructured semi-Structured Data • Use Cases:- Real Time Analytics,IOT, Social, Networék , Big Data Alls •Where We Use NOSQL Database 1. Real-time Web Application Use : Chat Apps, Social Feeds , Real-time analytics. Why NOSQL : Low Latency and High Throughput especially With in Memory database 2. Social Media Platform Use : Paste , Like, Comment, User Relationship Why NOSQL: Flexible Scheme Allows Fast change Grap Database are Great For Relationship
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