Apache Kafka
Definition
Apache Kafka continuously processes event data and provides it to multiple applications.
Apache Kafka is a distributed platform for event streams. It can publish events, store them durably, and process them during or after ingestion.
Simply explained
Like a distributed conveyor belt with labeled packages. Unlike a real belt, Kafka can retain events and replay them.
Why it matters in practice
For a Kafka architecture, event format, retention, and responsible consumers should be defined before implementation.
Example from business
Possible example: multiple internal applications process the same shared order status via separate Kafka consumers.
Limits and pitfalls
- Kafka does not automatically produce semantically correct events. Data quality and access rules remain tasks of the connected systems.
Origin & history
The Apache documentation describes Kafka as a distributed platform for reading, writing, storing, and processing event streams.
Use in mid-sized companies
- Possible use cases include decoupling internal applications and processing continuous operational events.
Frequently asked questions
Is Kafka just a queue?
No, the platform also stores and processes event streams.
Does Kafka replace semantic data validation?
No, the meaning and quality of events must be secured separately.
Sources
- Introduction · Apache Kafka (2026): Introduction
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