| Kafka is fault-tolerant because of partitions and their replicas. | Using Cache and RDD (Resilient Distributed DATASET), Spark can restore partitions. |
| It is only capable of handling real-time streams | It is capable of handling both real-time and BATCH tasks. |
| Messages in the Kafka log are persistent. | To keep the data durable, you'll need to utilize a dataframe or ANOTHER data structure. |
| There are no interactive modes in Kafka. The data from the producer is simply consumed by the broker, who then WAITS for the client to read it. | Interactive modes are available. |
