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"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
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Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory
Apache Spark is ranked 1st in Hadoop with 10 reviews while IBM Streams is ranked 12th in Streaming Analytics. Apache Spark is rated 8.6, while IBM Streams is rated 0.0. The top reviewer of Apache Spark writes "Good Streaming features enable to enter data and analysis within Spark Stream". On the other hand, Apache Spark is most compared with Spring Boot, Azure Stream Analytics, AWS Batch, SAP HANA and HPE Ezmeral Data Fabric, whereas IBM Streams is most compared with Confluent, Apache NiFi, Google Cloud Dataflow, Azure Stream Analytics and Amazon Kinesis.
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