SQL vs NoSQL

Compare relational and non-relational database models, their schemas, query patterns, and use cases.

SQL vs NoSQL

Compare relational and non-relational database models

SQL (Relational)

Active
ACID Transactions
Structured Schema
Complex Joins

NoSQL (Document)

Horizontal Scaling
Flexible Schema
High Performance

Schema Structure

idINTEGER
Required
nameVARCHAR(255)
Required
emailVARCHAR(255)
Required
ageINTEGER
created_atTIMESTAMP
Required

Query Execution

Performance Metrics

Avg Latency0ms
Total Queries0
Reads0
Writes0
Joins0
Aggregates0

Comparison

consistency
ACID - Strong
BASE - Eventual
scalability
Vertical (Limited)
Horizontal (Unlimited)
schema
Fixed Schema
Flexible Schema
joins
Supported
Not Supported
use Case
Financial, E-commerce
Social Media, IoT

System Design Insight

SQL databases excel at complex queries, joins, and ACID transactions—perfect for financial systems and e-commerce. NoSQL databases prioritize horizontal scalability and flexibility, ideal for social media feeds and IoT data. Choose SQL for structured data with relationships; choose NoSQL for high-volume, schema-less data that needs to scale across multiple servers.

Detailed explanation about SQL vs NoSQL goes here. This section would explain the algorithms, trade-offs, and real-world use cases.