Apache Airflow vs. IBM DataStage
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
Apache Airflow | Score8.6 out of 10 | N/A | Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL. Created at Airbnb as an open-source project in 2014, Airflow was brought into the Apache Software Foundation’s Incubator Program 2016 and announced as Top-Level Apache Project in 2019. It is used as a data orchestration solution, with over 140 integrations and community support. | 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 | ||||||||||||||
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| Apache Airflow | IBM DataStage | |
|---|---|---|
| Likelihood to Recommend | 9.1 | 8.0 |
| Usability | 10.0 | 8.0 |
| Performance | - | 9.0 |
| Support Rating | - | 9.6 |
