Batch vs Real-Time Streaming: When to Use Each (with Examples)
python
dev.to
Every data pipeline makes one foundational decision before a single line of code is written. Does it process data in scheduled chunks, or does it process data as events arrive? That is the batch versus streaming decision. It looks simple on paper. In practice, it shapes everything: the tools you use, the infrastructure you maintain, the guarantees you can make about data freshness, and the cost you pay every month to keep it running. Teams that build streaming pipelines when batch would have