Compare Azure Data Factory vs. SAP Data Services
Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while SAP Data Services is ranked 9th in Data Integration Tools with 10 reviews. Azure Data Factory is rated 8.2, while SAP Data Services is rated 7.4. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". On the other hand, the top reviewer of SAP Data Services writes "Helps us to collect and analyze data and has enabled us to increase our product line ". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas SAP Data Services is most compared with SAP Data Hub, SSIS and Informatica PowerCenter. See our Azure Data Factory vs. SAP Data Services report.
Most Helpful Review | |||
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 Find out what your peers are saying about Azure Data Factory vs. SAP Data Services and other solutions. Updated: March 2020. 408,154 professionals have used our research since 2012. | |||
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
It is easy to deploy workflows and schedule jobs. From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature. It is a complete ETL Solution. Powerful but easy-to-use and intuitive. The most valuable features are data transformations. Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good. From what we have seen so far, the solution seems very stable. The user interface is very good. It makes me feel very comfortable when I am using the tool. | The most valuable feature is the logging capability. The reporting on the data, even from third-party software, is very good. The maintenance of data services is the solution's most valuable feature. The HANA database, which is very fast, is a valuable feature. It is a powerful product with a broad range of features. The user interface is ok. The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth. The logic is also simple. It makes it easy to build your extraction. |
Cons | |
The setup and configuration process could be simplified. The user interface could use improvement. It's not a major issue but it's something that can be improved. The Microsoft documentation is too complicated. The product could provide more ways to import and export data. The speed and performance need to be improved. On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels. The solution needs to integrate more with other providers and should have a closer integration with Oracle BI. The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way. | The interface is not quite user-friendly and is in need of improvement. The solution should offer more machine learning and automation. The pricing of the solution should be improved. Integration with other products could be improved. Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices. The initial setup is complex. The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade. Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful. |
Pricing and Cost Advice | |
This is a cost-effective solution. Our licensing fees are approximately 15,000 ($150 USD) per month. In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal. | The pricing is a little high to make the product more competetive in the marketplace. Pricing is good, there is no problem. |
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Ranking  | |
Views 8,394 Comparisons 6,600 Reviews 10 Average Words per Review 456 Avg. Rating 8.1 | Views 7,906 Comparisons 6,422 Reviews 9 Average Words per Review 472 Avg. Rating 7.4 |
Top Comparisons | |
 Compared 13% of the time.  Compared 12% of the time. Compared 10% of the time. |  Compared 16% of the time.  Compared 15% of the time. Compared 13% of the time. |
Also Known As | |
| SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator | |
Learn | |
| Microsoft | SAP |
Overview | |
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security. | 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. |
Offer | |
Learn more about Azure Data Factory | Learn more about SAP Data Services |
Sample Customers | |
| Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid | EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group |
Top Industries | |
Software R&D Company53% Comms Service Provider9% Retailer4% Construction Company4% | Manufacturing Company33% Religious Institution11% Pharma/Biotech Company11% Construction Company11% Software R&D Company44% Comms Service Provider12% Government8% Manufacturing Company7% |
Find out what your peers are saying about Azure Data Factory vs. SAP Data Services and other solutions. Updated: March 2020.
408,154 professionals have used our research since 2012.
See also Azure Data Factory Reviews, SAP Data Services Reviews, and our list of Best Data Integration Tools Companies.
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