What are the main differences between SQL and NoSQL when it comes to scaling?
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 give examples of when to use SQL and when to use NoSQL?
Sure! Use SQL for structured data with complex queries, like financial records. Use NoSQL for unstructured data or when you need to scale out quickly, like social media applications.
What are the performance implications of choosing one over the other?
SQL can be slower for large datasets due to its complex joins, while NoSQL can offer faster read/write speeds for large volumes of unstructured data.
Are there any hybrid solutions that combine both SQL and NoSQL?
Yes, some databases like PostgreSQL offer JSON support, allowing you to use both SQL and NoSQL features, providing flexibility in data handling.
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