Database consistency is a fundamental property that ensures data remains accurate, valid, and reliable across transactions. In traditional databases, consistency is often associated with the ACID (atomicity, consistency, isolation, durability) properties, which guarantee that transactions transition the database from one valid state to another. However, in distributed databases, consistency takes on a broader meaning, balancing trade-offs with availability and partition tolerance, as described in the CAP theorem.

With the rise of cloud computing, global-scale applications, and distributed architectures, database consistency models have become critical for ensuring seamless and reliable data operations. This article explores different types of database consistency models, their trade-offs, and their relevance in modern distributed systems.