Topics: A topic is a category or feed name to which records are published. Each record consists of a key, a value, and a timestamp. Examples of topics include “user-signups”, “page-views”, and “error-logs”.

Partitions: A partition is a unit of parallelism in Kafka. It is an ordered, immutable sequence of records that is continually appended to. A partition is identified by its topic and partition number. For example, the topic “page-views” may have four partitions labelled 0, 1, 2, and 3. Each partition can be stored on a different machine to allow for multiple consumers to read from a topic in parallel.

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