Amazon EMR (Elastic MapReduce) vs. IBM Analytics for Apache Spark
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Amazon EMR | Score8.1 out of 10 | N/A | Amazon EMR is a cloud-native big data platform for processing vast amounts of data quickly, at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi (Incubating), and Presto, coupled with the scalability of Amazon EC2 and scalable storage of Amazon S3, EMR gives analytical teams the engines and elasticity to run Petabyte-scale analysis. | N/A |
 IBM Analytics for Apache Spark | Score8 out of 10 | N/A | IBM Analytics for Apache Spark for Cloud is a service designed to provide the fast in-memory performance of Apache Spark without the hassle of self-managing Spark clusters, relying instead on the convenience of IBM Cloud. | N/A |
| Amazon EMR | IBM Analytics for Apache Spark | |||||||||||||||
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | — | ||||||||||||||
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| Amazon EMR | IBM Analytics for Apache Spark | |
|---|---|---|
| Likelihood to Recommend | 8.0 | - |
| Usability | 7.0 | - |
| Support Rating | 9.0 | - |