We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
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Amazon Corretto is a no-cost, multiplatform, production-ready distribution of the Open Java Development Kit (OpenJDK).
Amazon Corretto comes with long-term support that will include performance enhancements and security fixes. Amazon runs Corretto internally on thousands of production services and Corretto is certified as compatible with the Java SE standard. With Corretto, you can develop and run Java applications on popular operating systems including Amazon Linux 2, Windows, and macOS.
Amazon Corretto is available for download and use at no cost. There are no additional paid features or restrictions. Amazon plans to release quarterly updates that include performance enhancements and bug fixes critical for enterprise application development.
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
Amazon Corretto is ranked 10th in Java Frameworks while Apache Spark is ranked 1st in Java Frameworks with 12 reviews. Amazon Corretto is rated 0.0, while Apache Spark is rated 8.6. On the other hand, the top reviewer of Apache Spark writes "Good Streaming features enable to enter data and analysis within Spark Stream". Amazon Corretto is most compared with Spring Boot, Eclipse MicroProfile, Jakarta EE and Spring MVC, whereas Apache Spark is most compared with Spring Boot, Azure Stream Analytics, AWS Batch, SAP HANA and AWS Lambda.
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