Apache Airflow vs. SAP Data Services

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.5 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
SAP Data Services
Score 8.7 out of 10
N/A
SAP Data Services is an offering from SAP to improve data quality.N/A
Pricing
Apache AirflowSAP Data Services
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache AirflowSAP Data Services
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache AirflowSAP Data Services
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.2
9 Ratings
0% above category average
SAP Data Services
-
Ratings
Multi-platform scheduling8.89 Ratings00 Ratings
Central monitoring8.49 Ratings00 Ratings
Logging8.19 Ratings00 Ratings
Alerts and notifications7.99 Ratings00 Ratings
Analysis and visualization7.99 Ratings00 Ratings
Application integration8.49 Ratings00 Ratings
Data Quality
Comparison of Data Quality features of Product A and Product B
Apache Airflow
-
Ratings
SAP Data Services
6.1
9 Ratings
36% below category average
Data source connectivity00 Ratings5.39 Ratings
Data profiling00 Ratings6.09 Ratings
Master data management (MDM) integration00 Ratings7.07 Ratings
Data element standardization00 Ratings6.99 Ratings
Match and merge00 Ratings5.19 Ratings
Address verification00 Ratings6.38 Ratings
Best Alternatives
Apache AirflowSAP Data Services
Small Businesses

No answers on this topic

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User Ratings
Apache AirflowSAP Data Services
Likelihood to Recommend
7.7
(9 ratings)
6.1
(9 ratings)
Support Rating
-
(0 ratings)
8.7
(4 ratings)
User Testimonials
Apache AirflowSAP Data Services
Likelihood to Recommend
Apache
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.
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SAP
It's definitely one of the leading ETL tools, and it's the best ETL tool to use with SAP integration. If you use SAP HANA, then you should think about Data Services as your primary ETL tool.
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Pros
Apache
  • 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.
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SAP
  • Integration with SAP ERP/ECC works really well.
  • A lot of flexibility in data creation, with different types of communication capabilities like BAPIs, IDocs, and Batch input.
  • Reliable and consistent results and easily enforceable data templates.
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Cons
Apache
  • 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
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SAP
  • Debugging is not very easy. When one wants to see the flow of data from one Query to another, the process is not very smooth and efficient.
  • A lot of functions do not behave the way they should. I have faced problems with the count() function.
  • I have faced problems while loading Excel files. The same set of options will work in one case but not in the other.
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Support Rating
Apache
No answers on this topic
SAP
As other SAP products, there is excellent support by SAP on this tool. You can access the SAP Help portal in order to give support either from the huge community or directly from SAP.
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Alternatives Considered
Apache
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.
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SAP
You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these enterprise-class solutions enable data integration and data quality, providing the right level of insight across your business so you can make better decisions and operate more effectively.SAP Data Services was previously known as SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator.
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Return on Investment
Apache
  • 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
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SAP
  • Very positive impact in jobs maintenance since support auto-documentation.
  • Great impact on learning curve.
  • Great results in our Data Quality Projects.
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