MapR Streams supports:
With Kafka 0.9, Kafka Connect was introduced. This generic framework integrates to upstream/downstream systems. The Kafka API is ideal for systems and applications that speak real-time and understand data as a continuous, never-ending sequence of events. Not all applications are oriented in this manner. Many existing big data applications see data as finite sets with a beginning, an end, and several records in between. This includes Spark (not streaming), MapReduce, Hive, Pig, Drill, and many more. For these tools, MapR offers the OJAI API,
See MapR user documentation for more information (http://maprdocs.mapr.com/home/MapR_Streams/migrating_kafka_applications_to_mapr_streams.html).
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