| Product | Rating | Most Used By | Product Summary | Starting Price |
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 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 |
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| Editions & Modules | No answers on this topic | ||||||||||
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| Entry-level Setup Fee | No setup fee | ||||||||||
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| Considered Both Products | Chose Apache Airflow Open source Easy to configure Easy to learn Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Apache Airflow Using Jenkins and Kafka, it is not for the same purpose, although it might be similar. I would say AirFlow is really what it says on the can - workflow management. For our organisation, the purpose is clear. So long your aim is to have a rich workflow scheduler and job … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Apache Airflow Much easy to deploy Apache Airflow as opposed to other products, with flexible deployment options as well as flexible integration with other tools and platforms. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Apache Airflow digdag (https://www.digdag.io/)- Digdag is a very simple build, run, schedule, and monitor complex pipelines of tasks with a simple implementation and no configuration. Easy to write YAMLs Airflow has a better community and widely adopted. Has a better UI and better documentation Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Apache Airflow Airflow was best suited in my use case for designing the ETL pipelines in a scripted manner for workflows & the UI was very good & easy to use. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info |
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| Would buy again | |
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| Delivers good value for the price | |
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| Happy with the feature set | |
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| Lived up to sales and marketing promises | |
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| Implementation went as expected | |
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| Likelihood to Recommend | 9.1 |
| Usability | 10.0 |
