Batch Processing
The short answer · 19 words
In short
Processing a collected amount of data or tasks as a related order instead of immediately after each individual event.
Flow-alerta.cab (2026): Batch Processing. https://flow-alerta.cab/en/glossar/batch-processing. Editorially reviewed on: 09 October 2026.
How much detail would you like?
Practical
Suitable for large amounts of data and recurring tasks, if delayed processing is sufficient. Effort and costs depend on the data volume, time window and operation.
Example scenario: Every night, new product data is collected, validated and transferred to search index and merchandise management.
Use for nightly data imports, reports, media processing, synchronizations or mass updates with clear restart and error rules.
At a glance
- Core
- In batch processing, data or jobs are first collected and then processed together according to schedule, quantity or trigger. This distinguishes them from real-time or streaming processing, where events are processed continuously.
- Use
- Suitable for large amounts of data and recurring tasks, if delayed processing is sufficient. Effort and costs depend on the data volume, time window and operation.
- Example
- Example scenario: Every night, new product data is collected, validated and transferred to search index and merchandise management.
- Limits
- Install batch processing, although immediate response is necessary; notice errors only at the end; do not isolate individual erroneous datasets; forget restart and idem potency.
In context
Questions about this term
Is Batch Processing Real Time?
No.
Can a batch be processed in parallel?
Yes.
When is streaming better?
When low latency or continuous response is crucial.
All details and background
In batch processing, data or jobs are first collected and then processed together according to schedule, quantity or trigger. This distinguishes them from real-time or streaming processing, where events are processed continuously.
ELI5 – Explained simply
Several tasks are collected and later processed in one package, instead of starting each one immediately individually.
Why it matters in practice
Suitable for large amounts of data and recurring tasks, if delayed processing is sufficient. Effort and costs depend on the data volume, time window and operation.
Example
Example scenario: Every night, new product data is collected, validated and transferred to search index and merchandise management.
Pitfalls and limits
- Install batch processing, although immediate response is necessary; notice errors only at the end; do not isolate individual erroneous datasets; forget restart and idem potency.
Origin & history
Batch processing bundles data for processing in specified time windows. IBM distinguishes them from continuous real-time processing.
Use in mid-sized companies
- Use for nightly data imports, reports, media processing, synchronizations or mass updates with clear restart and error rules.
Related terms
- Streaming
- ETL
- Data pipeline
- Event-driven architecture
Matching Flow-alerta service
AI assistants & automationAI assistants & automation: test a suitable process with clear rights and human test points.Matching tool / use case
View use casesUse Case: nighttime processing and synchronization of large data sets.Sources
- www.ibm.comIBM, Real-time analytics – Batch processing
Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: