batch vs stream
Batch processing operates on bounded input; streaming processes ongoing input.
Use this when A data workflow is acquiring a broker despite only needing periodic results.
without the term
“Someone suggested we set up Kafka for our analytics, but we only look at the numbers once a day. Do we really need real-time processing?”
with the term · How do you ask a model for batch vs stream?
Choose batch or streaming for this workload’s actual freshness requirement. Verify restart, duplicate handling, and the policy for late data.
What is batch vs stream?
Batch jobs process a finished set of data on a schedule. Streaming processes events continuously as they arrive. The choice depends on how fresh the results must be.
Why does batch vs stream matter when vibe coding?
A more complex processing model can introduce unnecessary state and failure modes.
How do you do batch vs stream?
State the latency requirement and choose the simplest model that meets it.
What goes wrong with batch vs stream?
Treating processing time as event time when late-arriving records change the result.