Apache Airflow vs. KNIME Analytics Platform
| 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 |
KNIME Analytics Platform | Score7.8 out of 10 | N/A | KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services. | $0 per month |
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| Editions & Modules | 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 | KNIME Analytics Platform | |
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| Likelihood to Recommend | 9.1 | 9.6 |
| Likelihood to Renew | - | 9.5 |
| Usability | 10.0 | 9.0 |
| Support Rating | - | 9.3 |
| Implementation Rating | - | 7.0 |
| Ease of integration | - | 10.0 |