https://r0tbyt3.dev/tags/cap-theorem/Recent content in Cap-Theorem on Jesus OsegueraHugoen-ushttps://r0tbyt3.dev/wiki/content/backend-engineering/databases/database-fundamentals/cap-theorem/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/databases/database-fundamentals/cap-theorem/CAP theorem CAP Theorem - principle stating distributed systems can guarantee only two of: Consistency, Availability, Partition tolerance. Consistency - all nodes see the same data at the same time. Availability - every request receives a response, without guarantee that it contains the most recent data. Partition tolerance - the system continues to operate despite arbitrary partitioning due to network failures. CAP Theorem Trade-offs Consistency and Partition tolerance (CP) - The system sacrifices availability to ensure data consistency during a network partition, often returning an error or time-out if data cannot be synced.