Consistency Models for DynamoDB

Amazon DynamoDB provides two consistency models for reading data for DB:

Eventual consistency and Strong consistency. Each model offers different trade-offs between performance, latency, and consistency guarantees for data.

1. Eventual Consistency

Description:

• Eventual consistency maximizes read throughput and minimizes latency.

• A read request might not immediately reflect all recent writes.

• Changes made to an item may not be immediately visible but will become consistent eventually (typically within a second).

Use Cases

• Scenarios where read performance and speed are prioritized over immediate consistency.

• Applications where it is acceptable for reads to occasionally return stale data.

• High-throughput applications that require fast and scalable read operations.

Examples

• Social media feeds where slight delays in seeing updates are acceptable.

• Real-time analytics where slight lags do not impact overall results.

• Applications with high read-to-write ratios where eventual consistency suffices.