What are the differences between strong and eventual consistency in cloud computing?

What are the differences between strong and eventual consistency in cloud computing?

Strong consistency ensures that all users see the same data at the same time, while eventual consistency allows for temporary discrepancies.

Can you give me an example of when I would use eventual consistency?

Eventual consistency is often used in distributed systems like social media feeds, where immediate accuracy isn't critical.

What are the advantages of using strong consistency?

Strong consistency provides reliability and predictability, which is crucial for applications like banking and financial transactions.

Are there any downsides to strong consistency?

Yes, strong consistency can lead to higher latency and reduced availability, especially in distributed systems.

How do I choose between strong and eventual consistency for my application?

Consider your application's requirements for data accuracy, latency, and availability to make the best choice.