Cap Theorem

The CAP Theorem, formulated by computer scientist Eric Brewer, states that in a distributed data store, it is impossible to simultaneously guarantee all three of the following properties: Consistency, Availability, and Partition Tolerance. Consistency ensures that all nodes see the same data at the same time, Availability guarantees that every request receives a response, and Partition Tolerance allows the system to continue operating despite network failures. The theorem highlights the trade-offs that architects must consider when designing distributed systems.

Articles in this topic

  • What is CAP Theorem?

    CAP Theorem explains the trade-offs between consistency, availability, and partition tolerance in distributed systems. It highlights the limitations that systems face when trying to achieve all three properties simultaneously.

  • How does CAP Theorem work?

    CAP Theorem illustrates how distributed systems must balance consistency, availability, and partition tolerance. It provides a framework for understanding the limitations of system design.

  • Why CAP Theorem Matters

    CAP Theorem is essential for understanding the limitations of distributed systems. It informs architects about the trade-offs necessary for effective system design.