Apache Airflow vs. DataOps.live
| 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 |
 DataOps.live | N/A | Mid-Size Companies (51-1,000 employees) | The DataOps.live SaaS platform is a solution for Snowflake environment management, end-to-end orchestration, CI/CD, automated testing & observability, and code management, wrapped in a developer interface. The solution aims to drive faster development, parallel collaboration, developer efficiencies, data assurance, simplified orchestration, and data product lifecycle management. | $1,000 per month per user |
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
| Additional Details | — | DataOps subscriptions are based on packs of users. Developer user licenses have full access to all features, and are intended for project maintainers and developers. For all other users, such as project management, business analysis, etc. DataOps offers packs of 5 operator users. | ||||||||||||||
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| Apache Airflow | DataOps.live | |
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| Likelihood to Recommend | 9.1 | - |
| Usability | 10.0 | - |