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.
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"Powerful but easy-to-use and intuitive."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The solution can scale very easily."
"The data copy template is a valuable feature."
"The most valuable aspect is the copy capability."
"The trigger scheduling options are decently robust."
"The user interface is ok."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"The feature of SAP Data Services has enhanced our company's business processes because we are able to run around 800 jobs in areas like data extraction and transaction objects."
"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."
"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."
"The HANA database, which is very fast, is a valuable feature."
"The most valuable feature is the logging capability."
"The solution offers very good integration capabilities."
"The deployment should be easier."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"We have experienced some issues with the integration. This is an area that needs improvement."
"The speed and performance need to be improved."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
"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."
"There should be some kind of enhancement that can be done on the admin side of certain sites where we can assign the roles and responsibilities. We should be able to control who is using the tool and how."
"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."
"The initial setup is complex."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"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 79 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, Alteryx Designer, Informatica Cloud Data Integration, Snowflake and AWS Lake Formation, whereas SAP Data Services is most compared with Syniti Data Quality, Informatica PowerCenter, Palantir Foundry, SSIS and SAP Process Orchestration. 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.