What is NoSQL database and its types?
NoSQL databases (aka “not only SQL”) are non-tabular databases and store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. The main types are document, key-value, wide-column, and graph.
Which architecture does NoSQL follow?
NoSQL requires Schema like RDBMS.
Which is not a type of NoSQL?
Which of the following is not a NoSQL database? Explanation: Microsoft SQL Server is a relational database management system developed by Microsoft.
Which is not a type of NoSQL database?
How many types of NoSQL databases give some examples?
In crux, we can say that there are four types of NoSQL Databases: Key-Value (KV) Stores, Document Stores, Column Family Data stores, and Graph Databases.
What are the different types of NoSQL database?
Seven types of NoSQL Database are Key-value stores, Document stores, Column-oriented, Graph Network, Hierarchical, Object-oriented and Triple Stores, etc. We hope this guide helps you get an idea of which NoSQL database type to choose for your application or project.
What are the four data architecture patterns of NoSQL?
The data is stored in NoSQL in any of the following four data architecture patterns. 1. Key-Value Store Database 2. Column Store Database 3. Document Database 4. Graph Database These are explained as following below. 1. Key-Value Store Database: This model is one of the most basic models of NoSQL databases.
What are the different types of databases?
Riak, Voldemort, and Redis are the most well-known in this category. ** Wide-column stores ** store data together as columns instead of rows and are optimized for queries over large datasets. The most popular are Cassandra and HBase. ** Document databases ** pair each key with a complex data structure known as a document.
What is graph databases architecture pattern?
Graph Databases: Clearly, this architecture pattern deals with the storage and management of data in graphs. Graphs are basically structures that depict connections between two or more objects in some data. The objects or entities are called as nodes and are joined together by relationships called Edges.