| Feature | Eventual Consistency | Strong Consistency |
|---|
| Latency | Lower latency, faster responses | Higher latency due to synchronization requirements |
| Availability | High availability, tolerant to partitions | Potentially lower availability during partitions |
| Consistency | Eventually consistent, may be temporarily stale | Immediate and strong consistency, always up-to-date |
| Use Cases | Social media, DNS, caching | Financial transactions, inventory systems |
| Examples | Cassandra, DynamoDB, Couchbase | MySQL, PostgreSQL (ACID), Google Spanner |
Summary:
- Eventual Consistency: Prioritizes availability and partition tolerance. Suitable for applications where temporary inconsistencies are acceptable.
- Strong Consistency: Prioritizes immediate accuracy and correctness. Suitable for applications where data consistency is critical at all times.