What are the differences between lambda architecture and traditional architecture?

What are the differences between lambda architecture and traditional architecture?

Lambda architecture is designed for big data processing, combining batch and real-time data, while traditional architecture often focuses on batch processing alone.

Can you explain the components of lambda architecture?

Sure! Lambda architecture consists of three layers: the batch layer, the speed layer, and the serving layer, each handling data differently.

What are the advantages of using lambda architecture?

The main advantages include real-time data processing, fault tolerance, and the ability to handle large volumes of data efficiently.

Are there any drawbacks to lambda architecture?

Yes, it can be complex to implement and maintain, and it may require more resources compared to traditional architectures.

When should I choose lambda architecture over traditional architecture?

Choose lambda architecture when you need real-time analytics and can handle the complexity, especially for large-scale data.