Apache Airflow vs. Azure Event Hubs

For a quick job scanning of status and deep-diving into job issues, details, and flows, AirFlow does a good job. No fuss, no muss. The low learning curve as the UI is very straightforward, and navigating it will be familiar after spending some time using it. Our requirements are pretty simple. Job scheduler, workflows, and monitoring. The jobs we run are >100, but still is a lot to review and troubleshoot when jobs don't run. So when managing large jobs, AirFlow dated UI can be a bit of a drawback.

Incentivized

Large IoT data ingestion which needs to be processed as batches or data which requires certain time to process in such scenario Azure Event Hubs is working very effective.

Incentivized

• In charge of the ETL processes.
• As there is no incoming or outgoing data, we may handle the scheduling of tasks as code and avoid the requirement for monitoring.

Incentivized

• message queuing
• data processing for notification.
• Handling large volumes of data from multiple sources.

Incentivized

• they should bring in some time based scheduling too not only event based
• they do not store the metadata due to which we are not able to analyze the workflows
• they only support python as of now for scripted pipeline writing

Incentivized

• pricing should be less
• integration with the services should be enhanced.
• Deduplication functionality should be there in Azure Event Hubs

Incentivized

There are a number of reasons to choose Apache Airflow over other similar platforms- Integrations—ready-to-use operators allow you to integrate Airflow with cloud platforms (Google, AWS, Azure, etc) Apache Airflow helps with backups and other DevOps tasks, such as submitting a Spark job and storing the resulting data on a Hadoop cluster It has machine learning model training, such as triggering a Sage maker job.

Incentivized

All platforms are good, costing wise it is effective, scalable is being managed by Azure Event Hubs only so only configuration is being required to do, also provides the encrypted, reliable and secure solution .

Incentivized

• A lot of helpful features out-of-the-box, such as the DAG visualizations and task trees
• Allowed us to implement complex data pipelines easily and at a relatively low cost

Incentivized

• reducing the cost as you don't need to create a solution which is scalable
• increasing the productivity of the solution.
• customer satisfaction can be increased by integrating it as a solution.

Incentivized