How do I choose between stream and batch processing?

I'm trying to decide whether to use stream processing or batch processing for my data pipeline. What should I consider?

You should consider factors like data volume, latency requirements, and processing complexity. Stream processing is great for real-time data, while batch processing is better for large volumes of data that can be processed at once.

What are the advantages of stream processing?

Stream processing allows for real-time analytics, lower latency, and the ability to handle continuous data flows. It's ideal for applications that require immediate insights.

And what about batch processing?

Batch processing is efficient for large datasets, can be more cost-effective, and is easier to manage for complex transformations that don't need immediate results.

Can I combine both methods in my pipeline?

Yes, many systems use a hybrid approach, leveraging both stream and batch processing to optimize performance and meet different data needs.