| Push-based message delivery is supported by Redis. This means that messages published to Redis will be distributed to consumers automatically. |
Pull-based message delivery is supported by Kafka. The messages published to the Kafka broker are not automatically sent to the consumers; instead, consumers must pull the messages when they are ready. |
| Message retention is not supported by Redis. The communications are destroyed once they have been delivered to the recipients. |
In its log, Kafka allows for message preservation. |
| Parallel processing is not supported by Redis. |
Multiple consumers in a consumer group can consume partitions of the topic concurrently because of the Kafka's partitioning feature. |
| Redis can not manage vast amounts of data because it's an in-memory database. |
Kafka can handle massive amounts of data since it uses disc space as its primary storage. |
| Because Redis is an in-memory store, it is much faster than Kafka. |
Because Kafka stores data on disc, it is slower than Redis. |
