Apache Airflow vs. Integrate.io

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

Integrate.IO or formerly XPlenty can be used for various needs:

• Multiple Sources (Excel, CSV, Text File, Blank File Type, All SQL Type)
• Multiple End Points (All SQL Type)
• Integration to Salesforce Sales Cloud
• Re-using the same package in different platforms which result to less development
• Value for the money

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

• Collecting data from different sources and making these available for BI tools or other IT systems.
• Their support department is really helpful when you are facing issues. Sometimes they refer to their documentation and sometimes they can help you right away.
• Generally I’m really happy with the ease of use. The software just does its job very well and we’re really getting a lot of value from it.

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

• It's not always easy to use.
• Debugging can be challenging when error logs lack specificity.
• Interaction between fields or packages is slow.

Incentivized

I found them super cool and helpful in any regarding to implementation.

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

Integrate.io offers more customization options than Datorama, allowing businesses to create their own custom integrations and workflows using their API and SDKs. Integrate.io's pricing model is based on the number of data transactions, which may be more cost-effective for businesses that have a high volume of data.

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

• Faster development with less skill requirements
• Part of long range planning
• Captured the data privacy requirements

Incentivized