Scalability

 Scalability in NoSQL

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1. Meaning of Scalability

Scalability is the ability of a database to handle increasing data and users efficiently without loss of performance.

NoSQL databases are designed to scale easily for big data and high-traffic applications.

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2. Types of Scalability

1. Vertical Scalability (Scale Up)

• Increase CPU, RAM, or storage of a single server

• Limited and expensive

Used mainly by: RDBMS

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2. Horizontal Scalability (Scale Out)

• Add more servers to the system

• Data is distributed across servers

Used mainly by: NoSQL databases

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3. Scalability in NoSQL Databases

NoSQL databases support horizontal scalability using:

• Sharding

• Replication

• Distributed architecture

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4. Scalability in MongoDB

1. Sharding

• Data is split into smaller parts (shards)

• Each shard is stored on a different server

Benefits:

• Handles large datasets

• Improves performance

• Load balancing

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2. Replica Sets

• Multiple copies of data

• Supports scaling for read operations

• Ensures fault tolerance

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3. Auto-balancing

• MongoDB automatically distributes data across shards

• Prevents overload on a single server

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5. Advantages of NoSQL Scalability

• Supports big data

• High performance under heavy load

• Easy to add new nodes

• Cost-effective using commodity hardware

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6. Use Cases Requiring Scalability

• Social media platforms

• E-commerce websites

• Real-time analytics

• IoT applications

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7. Comparison: RDBMS vs NoSQL Scalability

Aspect	RDBMS	NoSQL
Scaling type	Vertical	Horizontal
Flexibility	Limited	High
Big data support	Poor	Excellent