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SQL vs No-SQL (Document Database)

SQL No-SQL
Stores flat tables (like Excel sheets) Stores JSON-like documents
Requires fixed schemas No schema required
Ensures referential integrity Does NOT ensure referential integrity
Can scale vertically (by adding more memory, CPU) Can scale horizontally (by adding more machines)
Unified query language (SQL) (with "dialects") Proprietary query languages
Use case: highly structured data, many relations, e.g. financial transactions Use case: huge amount of data, few relations, semi-structured data
Examples: MySQL, Postgres, Oracle, SQL Server Examples: MongoDB, Couchbase, Amazon DynamoDB

SQL vs. NoSQL Databases: What's the Difference?

Relationships

A Guide to the Entity Relationship Diagram

Draw DB diagrams

Querying data with MongoDB

Introduction to the MongoDB Aggregation Framework

Querying data with SQL

Basic SQL Commands

API development

REST vs GraphQL

Web Sockets

Microservice Architecture

An Introduction to Microservices

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