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.
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"We haven't had any issues connecting it to other products."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"You can always manipulate a lot of things as long as you have the skill level."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"I appreciate having access to the SAP data."
"The HANA database, which is very fast, is a valuable feature."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"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."
"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."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"It would be better if it had machine learning capabilities."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"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."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"We require Azure Data Factory to be able to connect to Google Analytics."
"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."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"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."
"Integration with other products could be improved."
"It would be nice if this solution was a bit easier to move from development to production."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"They could make it easier to work with web services."
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.