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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
Vert. x is an open source, reactive and polyglot software development toolkit from the developers of Eclipse. Reactive programming is a programming paradigm, associated with asynchronous streams, which respond to any changes or events. Similarly, Vert.
Apache Spark is ranked 1st in Java Frameworks with 11 reviews while Vert.x is ranked 8th in Java Frameworks. Apache Spark is rated 8.6, while Vert.x 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, AWS Lambda and Hortonworks Data Platform, whereas Vert.x is most compared with Spring Boot, Eclipse MicroProfile, Jakarta EE, Spring MVC and Thorntail.
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