When should I use Kappa architecture?

What is Kappa architecture and when should I use it?

Kappa architecture is a data processing architecture that simplifies the data pipeline by using a single stream processing layer. You should consider using it when you need real-time data processing and want to avoid the complexity of maintaining both batch and stream processing systems.

What are the advantages of using Kappa architecture over Lambda architecture?

The main advantages of Kappa architecture include reduced complexity, as it eliminates the need for a separate batch processing layer, and easier maintenance since you only have one processing model to manage. It also allows for real-time data processing, which is crucial for many modern applications.

Can you give me an example of a use case for Kappa architecture?

Sure! A common use case for Kappa architecture is in real-time analytics for social media platforms, where data is continuously ingested and processed to provide insights and updates to users instantly.

Are there any limitations to Kappa architecture?

Yes, some limitations include challenges in handling historical data and the potential difficulty in implementing complex event processing, which might still require some batch processing capabilities.