Apache Spark vs. IBM DataStage
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Apache Spark | Score9.2 out of 10 | N/A | Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. | N/A |
 IBM DataStage | Score7.6 out of 10 | N/A | IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment. | N/A |
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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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| Apache Spark | IBM DataStage | |
|---|---|---|
| Likelihood to Recommend | 9.0 | 8.0 |
| Likelihood to Renew | 10.0 | - |
| Usability | 8.0 | 8.0 |
| Performance | - | 9.0 |
| Support Rating | 8.7 | 9.6 |