Apache Airflow vs. Azure Event Hubs
Apache Airflow vs. Azure Event Hubs
Product | Rating | Most Used By | Product Summary | Starting Price |
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Apache Airflow | 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 | |
![]() Azure Event Hubs | N/A | Event Hubs is a managed, real-time data ingestion service that’s used to stream millions of events per second from any source to build dynamic data pipelines and respond to business challenges. Users can continue to process data during emergencies using the geo-disaster recovery and geo-replication features. It can be integrated with other Azure services to unlock insights. Existing Apache Kafka clients and applications can be allowed to talk to Event Hubs without any code changes, producing a… | 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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Workload Automation |
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Apache Airflow | Azure Event Hubs | |
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Small Businesses | No answers on this topic | Skyvia Score 9.8 out of 10 |
Medium-sized Companies | ActiveBatch Workload Automation Score 8.1 out of 10 | Astera Data Pipeline Builder (Centerprise) Score 9.0 out of 10 |
Enterprises | ![]() Redwood RunMyJobs Score 9.3 out of 10 | Control-M Score 9.3 out of 10 |
All Alternatives | View all alternatives | View all alternatives |
Apache Airflow | Azure Event Hubs | |
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Likelihood to Recommend | 9.0 (10 ratings) | 8.0 (1 ratings) |
Usability | 10.0 (1 ratings) | - (0 ratings) |
Apache Airflow | Azure Event Hubs | |
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Likelihood to Recommend | Apache
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Pros | Apache
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Cons | Apache
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Usability | Apache
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Alternatives Considered | Apache
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Return on Investment | Apache
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