NoSQL (Not Only SQL) Database

Table of Contents

• NoSQL (Not Only SQL) Database
  • Table of Contents
  • Data Structure
  • Data Integrity
  • Query Language
  • Schema
  • Scaling
  • Examples
  • Ref.

A NoSQL (which stands for “not only SQL”) database is a type of database management system that is designed to handle and store data in ways that are different from traditional relational databases. NoSQL databases are particularly well-suited for handling large volumes of unstructured or semi-structured data, and they provide more flexibility and scalability than traditional SQL databases in certain use cases.

Here are some key characteristics and features of NoSQL databases:

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Data Structure

NoSQL databases are designed to store unstructured, semi-structured, or highly variable data. They use various data models, such as document, key-value, column-family, and graph, to accommodate different data types.

• Schema-less:

  NoSQL databases are typically schema-less, meaning they don’t require a fixed table structure with predefined columns and data types.

• Variety of Data Models:

  • Key-Value Stores: These databases store data as key-value pairs, making them ideal for simple and fast data retrieval. Examples include Redis and Amazon DynamoDB.
  • Document Stores: These databases store data as JSON, BSON, or XML documents, making them suitable for semi-structured data. Examples include MongoDB and Couchbase.
  • Column-Family Stores: These databases organize data into column families and columns, making them efficient for storing and retrieving large amounts of data. Apache Cassandra is an example.
  • Graph Databases: These databases are designed for managing and querying data with complex relationships. Neo4j is a well-known graph database.

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Data Integrity

NoSQL databases may offer eventual consistency instead of strong ACID guarantees. They prioritize availability and partition tolerance over strict consistency, which is suitable for certain use cases.

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Query Language

NoSQL databases use query languages specific to their data model. Some support flexible and dynamic querying, while others offer simple key-based retrieval.

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Schema

NoSQL databases are schema-flexible, meaning you can add or change fields without requiring a predefined schema. This flexibility is well-suited for applications with evolving data requirements.

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Scaling

NoSQL databases are designed for horizontal scalability, allowing you to add more servers to distribute data and handle increased load. They are suitable for large-scale and distributed systems.

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Examples

Examples of NoSQL databases include MongoDB (document store), Cassandra (wide-column store), Redis (key-value store), and Neo4j (graph database).

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Ref.

• https://en.wikipedia.org/wiki/NoSQL

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