What are the types of database consistency?

What are the different types of database consistency?

Database consistency refers to the correctness and validity of data in a database. The main types include: 1. Strong Consistency: Guarantees that any read operation will return the most recent write. 2. Eventual Consistency: Ensures that, given enough time, all updates will propagate through the system, and all replicas will converge to the same value. 3. Causal Consistency: Ensures that operations that are causally related are seen by all nodes in the same order. 4. Read Your Writes Consistency: Guarantees that a user will always see their own writes. 5. Session Consistency: Ensures that within a session, a user sees a consistent view of the data.

Can you explain strong consistency in more detail?

Sure! Strong consistency means that after a write operation is completed, any subsequent read operation will return that write. This is crucial for applications where accuracy is critical, such as banking systems. It ensures that all users see the same data at the same time, but it can lead to performance trade-offs due to the need for synchronization.

What are the trade-offs of using eventual consistency?

Eventual consistency allows for higher availability and partition tolerance, but it comes with the trade-off of potentially reading stale data. This means that users might not see the most recent updates immediately, which can be problematic for applications requiring real-time accuracy.

How does causal consistency differ from strong consistency?

Causal consistency allows operations that are causally related to be seen in the same order by all nodes, while strong consistency requires that all reads return the most recent write. In causal consistency, if one operation causally affects another, all nodes will see them in the correct order, but they may not see the most recent writes immediately.