Apache Airflow vs. Broadcom Automic Automation

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

This product has huge capacity to run millions of jobs per month, can serve to enterprise level of business. If client is looking for platform base solution which can be deployed on-prem or cloud base technologies then this solution works well. It has very good licensing mechanism which is based on number of agents, and there is no limitation of number of jobs run. So client has not to worry on limitation of jobs and can scale of the automation in the environment. This reduced the total cost of ownership of product. Self service automation feature can reduce the client automation cost significantly. it has good batch job coverages from Mainframe to Microservices.

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

• Wide range of internal functions
• Many interfaces (incoming and outgoing)
• Modern, web-based user interface
• Strong roadmap with topics such as containerisation and AI
• High throughput possible (> 1 million executions per day)

• 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

• Could improve the framework.
• Could improve the underlying coding standards.

Incentivized

Automic is a very strong Automation Platform which enable us to implement user requirements quickly.

I have not used Automic One Automation Platform (formerly CA Automic Automation Platform) support.

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

1. Cost was the major factor without compromising the automation service which this product delivered. Other products are expensive and deliver the same outcome. 2. Limitation of job run, Broadcom Automic Automation allows to run unlimited jobs and helps to increase automation capability. 3. Number of automation packs available with no extra license cost. 4. Depth of coverage of technologies for batch job automation. 5. Required less number of hardware to achieve high availability.

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

• Improved SAP automation thereby giving good returns.
• Provides mail integration which further widens automation scope and profits.

Incentivized