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."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"We have been using drivers to connect to various data sets and consume data."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"It is a powerful product with a broad range of features."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"You can always manipulate a lot of things as long as you have the skill level."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"The initial setup is not complex."
"The most valuable features of SAP Data Services lie in its ability to effectively observe and interpret the information within data related to people or facts, stands out."
"The user interface is ok."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The one element of the solution that we have used and could be improved is the user interface."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"The execution engines and processing engines have shortcomings and need improvements."
"The migration of the solution between different environments is quite complex."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"They could make it easier to work with web services."
"In the future, Data Services should offer a cloud version."
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.