MapR-Streams supports many more topics than Kafka because in MapR-Streams, a topic is not a heavyweight construct with dedicated resources as it is in Kafka. Instead, a topic is a bit of metadata associated with messages. Internally, date is structured to ensure fast access based upon partition and topic, which is typical consumer behavior.
You can find an independent study done by EST Labs at Mike Leone of ESG Lab tested MapR Streams | MapR
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