What are the differences in scaling between NoSQL and SQL databases?
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What are the differences in scaling between NoSQL and SQL databases?
SQL databases typically scale vertically, meaning you add more power to a single server. NoSQL databases, on the other hand, are designed to scale horizontally, allowing you to add more servers to handle increased load.
Can you explain why NoSQL is better for certain applications?
NoSQL is often better for applications that require high scalability, flexibility in data models, and the ability to handle large volumes of unstructured data, such as social media platforms or real-time analytics.
What are some examples of NoSQL databases?
Some popular NoSQL databases include MongoDB, Cassandra, and Redis. Each has its own strengths depending on the use case.
Are there any scenarios where SQL is preferred over NoSQL?
Yes, SQL is preferred in scenarios requiring complex queries, transactions, and data integrity, such as financial applications or systems with structured data.
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