How do SQL and NoSQL databases compare in terms of scalability?
An example of an AI chatbot conversation about SQL vs NoSQL database scalability.
How do SQL and NoSQL databases compare in terms of scalability?
SQL databases are typically vertically scalable, meaning you can increase the capacity of a single server. NoSQL databases, on the other hand, are designed to be horizontally scalable, allowing you to add more servers to handle increased load.
What are some examples of SQL and NoSQL databases?
Common SQL databases include MySQL, PostgreSQL, and Oracle. Popular NoSQL databases are MongoDB, Cassandra, and Redis.
Which one is better for large-scale applications?
It depends on the use case. NoSQL is often preferred for large-scale applications with unstructured data, while SQL is better for structured data and complex queries.
Can you explain the trade-offs between them?
Sure! SQL databases offer strong consistency and complex querying capabilities, while NoSQL databases provide flexibility and scalability for large datasets.
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