Logo

dev-resources.site

for different kinds of informations.

SQL VS NoSQL

Published at
1/3/2025
Categories
sql
nosql
backend
database
Author
kamal_rajpurohit_db347a85
Categories
4 categories in total
sql
open
nosql
open
backend
open
database
open
Author
25 person written this
kamal_rajpurohit_db347a85
open
SQL VS NoSQL

Here's a detailed explanation of when and why to use SQL and NoSQL, along with examples of their usage in companies like Flipkart, Uber, and Netflix:

When to Use SQL:

Structured Data:
Use SQL when your data has a well-defined schema, and relationships between entities are important.

Transactional Consistency:

SQL databases provide ACID (Atomicity, Consistency, Isolation, Durability) properties, which are essential for financial transactions or critical operations.

Relational Data:

Ideal for applications requiring complex joins or relational queries.

Long-Term Data Integrity:

SQL databases are suitable for systems where schema evolution is minimal, and strong data integrity is a priority.

Examples:
Flipkart:
SQL Use: Order processing, payments, inventory management.
SQL databases (e.g., MySQL or PostgreSQL) ensure consistent order processing and inventory updates across the system.
Uber:
SQL Use: User accounts, ride bookings, payment processing.
Uber uses SQL databases like PostgreSQL for maintaining transactional consistency during ride booking and fare calculations.
Netflix:
SQL Use: User subscriptions, billing, and metadata.
Netflix uses SQL for financial operations that require strict consistency.

When to Use NoSQL:

Scalability:

NoSQL databases are horizontally scalable, making them suitable for applications with rapidly growing datasets.
Unstructured/Semi-Structured Data:
Ideal for storing unstructured or semi-structured data like JSON, documents, or logs.

Real-Time Performance:

Low latency and high throughput for real-time applications.
Flexible Schema:
Schema-less nature allows easy adaptation to changes in data structure.

Examples:
Flipkart:
NoSQL Use: Product catalog, search, and recommendations.
Flipkart uses NoSQL databases like MongoDB or Cassandra to handle the massive scale of product data and enable fast search and filtering.
Uber:
NoSQL Use: Driver tracking, real-time location updates.
Uber uses Cassandra to store and query time-series data for tracking driver and rider locations in real time.
Netflix:
NoSQL Use: Movie catalog, streaming logs, recommendations.
Netflix uses Cassandra to handle the large-scale, globally distributed movie catalog and stream metadata.

Conclusion
Use SQL when:
_Data consistency and relational integrity are critical.
The workload is transactional and structured.

Use NoSQL when:
Scalability, high throughput, and flexible schemas are essential.
The workload involves unstructured or semi-structured data, or when handling real-time data
.

nosql Article's
30 articles in total
Favicon
O que é o Apache Cassandra e quando usar?
Favicon
Efficient Batch Writing to DynamoDB with Python: A Step-by-Step Guide
Favicon
SQL VS NoSQL
Favicon
MongoDB: How to setup replica sets
Favicon
Do you think schema flexibility justifies using NoSQL? Think twice.
Favicon
Series de tiempo en MongoDB
Favicon
What I Learned from the 'Amazon DynamoDB for Serverless Architectures' Course on AWS Skill Builder
Favicon
MongoDB Command Shortcuts: The Ultimate Guide
Favicon
MongoDB: Startup replica sets with a config file
Favicon
Azure Logs Analytics for CosmosDB
Favicon
Choosing the Right Database: A Simplified Guide
Favicon
Understanding the Differences Between NoSQL and SQL Databases
Favicon
Part 2 - CosmosDB Logical Partition and the Impact on Partition Key Choice
Favicon
Partitions in Azure Cosmos DB: A Common Discussion with Customers
Favicon
Database Sharding: Simplifying Data Scalability
Favicon
HTTP and GraphQL
Favicon
New possibilities with GraphQL
Favicon
NoSQL delivers quick value
Favicon
Navigating Databases: From SQL to NoSQL
Favicon
Selecting the Right Database for the Job
Favicon
NewSQL: Bridging the Gap Between SQL and NoSQL
Favicon
Weekly Updates - October 18, 2024
Favicon
Overcoming MongoDB Limitations with Fauna
Favicon
MongoDB Developer Day Manila 2024: A Recap - A Deep Dive into the Future of Data
Favicon
How to choose the right database?
Favicon
SQL vs. NoSQL: Key Differences, Use Cases, and Choosing the Right Database for Your Project
Favicon
Top 5 SQL questions asked in interviews
Favicon
Weekly Updates - Nov 8, 2024
Favicon
Plain Javascript Refresher for those feeling left behind or not knowing where to start w/ Functions, Arrays, Loops, JSON & NoSQL
Favicon
Mastering DynamoDB: Batch Operations Explained

Featured ones: