The original title is "Batch vs Real-Time Streaming: When to Use Each (with Examples)"

Short summary

Batch processing excels at complex joins, heavy aggregations, and nightly reconciliation; streaming enables real-time fraud detection and personalization but costs 3-4x more in infrastructure. Choose batch if stale data causes no business loss; choose streaming only when real-time actions depend on immediate data availability.

• •Batch: lower cost, handles complex operations, introduces data latency
• •Streaming: real-time results, requires always-on infrastructure, 3-4x higher cost
• •Decision framework: use batch for non-urgent operations; use streaming only when real-time decisions drive business value

Generated with AI, which can make mistakes.