Compare Azure Data Factory vs. SAP Data Services
 | Anonymous User Senior Manager at a tech services company |
| Anonymous User Manager of Customer Care Center at a construction company |
Find out what your peers are saying about Azure Data Factory vs. SAP Data Services and other solutions. Updated: January 2021.
465,058 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:
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"The solution has a good interface and the integration with GitHub is very useful."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"From what we have seen so far, the solution seems very stable."
"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."
"The most valuable features are data transformations."
"Powerful but easy-to-use and intuitive."
"The logic is also simple. It makes it easy to build your extraction."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The user interface is ok."
"It is a powerful product with a broad range of features."
"The HANA database, which is very fast, is a valuable feature."
"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 most valuable feature is the logging capability."
Cons
"The thing we missed most was data update, but this is now available as of two weeks ago."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"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 solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"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 speed and performance need to be improved."
"The product could provide more ways to import and export data."
"The Microsoft documentation is too complicated."
"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."
"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."
"The initial setup is complex."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"Integration with other products could be improved."
"The solution should offer more machine learning and automation."
"The pricing of the solution should be improved."
"The interface is not quite user-friendly and is in need of improvement."
"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."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"This is a cost-effective solution."
"The price you pay is determined by how much you use it."
"Understanding the pricing model for Data Factory is quite complex."
"I would not say that this product is overly expensive."
"Pricing is good, there is no problem."
"The pricing is a little high to make the product more competetive in the marketplace."
"Its pricing is as per the enterprise agreement and not a concern for us."
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Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
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SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
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.
Learn more about Azure Data Factory
Learn more about SAP Data Services
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
Insurance Company22%
Computer Software Company22%
Healthcare Company11%
Logistics Company11%
Computer Software Company38%
Comms Service Provider13%
Energy/Utilities Company6%
Insurance Company5%
Manufacturing Company30%
Religious Institution10%
Comms Service Provider10%
University10%
Computer Software Company39%
Comms Service Provider17%
Manufacturing Company6%
Energy/Utilities Company5%
Small Business29%
Midsize Enterprise21%
Large Enterprise50%
Small Business12%
Midsize Enterprise8%
Large Enterprise81%
Find out what your peers are saying about Azure Data Factory vs. SAP Data Services and other solutions. Updated: January 2021.
465,058 professionals have used our research since 2012.
Azure Data Factory is ranked 4th in Data Integration Tools with 19 reviews while SAP Data Services is ranked 7th in Data Integration Tools with 11 reviews. Azure Data Factory is rated 7.8, while SAP Data Services is rated 7.6. The top reviewer of Azure Data Factory writes "Reasonably priced, scales well, good performance". 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 Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, IBM InfoSphere DataStage and Denodo, whereas SAP Data Services is most compared with SSIS, Informatica PowerCenter, SAP Data Hub, Palantir Foundry and IBM InfoSphere DataStage. See our Azure Data Factory vs. SAP Data Services report.
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We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.