When should I use Lambda or Kappa architecture?
An example of an AI chatbot conversation about when to use Lambda or Kappa architecture.
Can you explain when to use Lambda or Kappa architecture?
Sure! Lambda architecture is great for batch processing and real-time analytics, while Kappa is simpler and focuses on stream processing.
What are the main differences between them?
The main difference is that Lambda uses both batch and stream processing, while Kappa only uses stream processing, making it easier to manage.
Which one is more cost-effective?
Kappa can be more cost-effective due to its simplicity and reduced infrastructure needs, but it depends on your specific use case.
Can you give me an example of a use case for each?
Certainly! Use Lambda for a data warehouse that needs historical data analysis, and Kappa for real-time event processing like monitoring user activity.
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