We performed a comparison between Azure Data Factory and SAP Data Services based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Users prefer Azure Data Factory, as it is mature, robust, and consistent. The built-in connectors of more than 100 sources and onboarding data from many different sources to the cloud environment make it easier for users to understand the data flow better. An experienced data engineer is recommended to ensure proper speed and functionality when using SAP Data Services; it is not recommended for the novice user.
"The solution can scale very easily."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The most valuable aspect is the copy capability."
"Powerful but easy-to-use and intuitive."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"It is a complete ETL Solution."
"The security of the agent that is installed on-premises is very good."
"The scalability of the product is impressive."
"The user interface is ok."
"The solution offers very good integration capabilities."
"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"The basic functionality is quite good as is the basic logic and data information."
"The reporting on the data, even from third-party software, is very good."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"Data Factory's cost is too high."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"Integration with other products could be improved."
"They could make it easier to work with web services."
"The initial setup is complex."
"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."
"In the future, Data Services should offer a cloud version."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"The solution could improve the overall features. There is a lot that can be done in the solution, therefor there are areas where it can improve. Additionally, there is a need to make it easier for one to create connections to other non-SAP systems. The flexibility to connect to other non-SAP systems is needed."
"Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. Azure Data Factory is rated 8.0, while SAP Data Services is rated 8.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and AWS Lake Formation, whereas SAP Data Services is most compared with Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration, Palantir Foundry and SSIS. See our Azure Data Factory vs. SAP Data Services report.
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We monitor all Data Integration 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.