What is the CAP theorem and how does it relate to database scalability and consistency?
- Atomicity, Performance, Reliability; It highlights the importance of transaction management.
- Clarity, Adaptability, Portability; It outlines principles for database design.
- Complexity, Accessibility, Performance; It describes the trade-offs between database features.
- Consistency, Availability, Partition tolerance; It states that in a distributed system, it is impossible to simultaneously achieve all three properties.
The CAP theorem, also known as Brewer's theorem, defines three properties: Consistency, Availability, and Partition tolerance. It states that in a distributed system, it's impossible to simultaneously guarantee all three properties; you can only choose two. This theorem has profound implications for database design and scalability. For example, choosing consistency and availability sacrifices partition tolerance, impacting scalability, while prioritizing availability and partition tolerance may lead to eventual consistency models. Understanding these trade-offs is crucial for designing scalable and resilient distributed databases.
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