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.
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"The security of the agent that is installed on-premises is very good."
"Its integrability with the rest of the activities on Azure is most valuable."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"The solution can scale very easily."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The most valuable feature of SAP Data Services is the integration with data sources."
"You can always manipulate a lot of things as long as you have the skill level."
"The most valuable feature is the ETL functionality."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"The maintenance of data services is the solution's most valuable feature."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
"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."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"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."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"It would be better if it had machine learning capabilities."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"I have not found any real shortcomings within the product."
"The speed and performance need to be improved."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"The solution shows a lack of cloud support data services."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"At the integration level, there could be certain set of improvement to connect to various other systems."
"The interface is not quite user-friendly and is in need of improvement."
"It would be nice if this solution was a bit easier to move from development to production."
"The initial setup is complex."
Azure Data Factory is ranked 1st in Data Integration with 40 reviews while SAP Data Services is ranked 10th in Data Integration with 15 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 good, the bad and the lots of ugly". On the other hand, the top reviewer of SAP Data Services writes "Easy to use, simple to implement, and offers very good mapping capabilities". 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, SSIS, Palantir Foundry 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.