What is stream processing vs batch processing?

Stream processes events as they arrive (low latency); batch groups data for periodic crunching (high throughput, cheap).

When should I use batch processing?

For historical analysis, reports, ML training—anywhere sub-5min delay's fine and volumes are huge.

No—only if under 100ms matters. Otherwise, micro-batches bridge the gap cheaper.

Essential for finance; ops complexity pays off in compliance and cost.

🏗️ DevOps & Infrastructure

Everyone chased real-time dreams with streams. Reality? Batch still owns the heavy lifting—and hybrids are the only sane path forward.

theAIcatchup Apr 10, 2026 4 min read

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#apache kafka #apache spark #batch processing #data pipelines #fraud detection #stream processing

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Originally reported by Dev.to