What are the differences between Kappa and Lambda architecture?

What are the differences between Kappa and Lambda architecture?

Kappa architecture is designed for real-time data processing, while Lambda architecture combines batch and stream processing.

Can you explain how Kappa architecture handles data?

Kappa architecture processes data in a single stream, allowing for real-time analytics without the complexity of batch processing.

What are the advantages of using Lambda architecture?

Lambda architecture provides fault tolerance and allows for both real-time and historical data analysis, making it versatile.

Which architecture is better for big data applications?

It depends on the use case; Kappa is better for real-time needs, while Lambda is suitable for applications requiring both batch and stream processing.

Are there any drawbacks to using Kappa architecture?

Yes, Kappa architecture can be more complex to implement and may require more resources for real-time processing.