We performed a comparison between Informatica Data Quality and SAP Data Services based on real PeerSpot user reviews.
Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"I give the stability a ten out of ten."
"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"Seeing the data in the mapping itself is really nice."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"The logic is also simple. It makes it easy to build your extraction."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"The solution offers very good integration capabilities."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"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."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
"Informatica is very expensive."
"The customer servive and support could be faster. There is a slow turnaround."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"The tool's performance is an area that should be given further consideration."
"There is room for improvement in the Data Marketplace aspect."
"In the future, Data Services should offer a cloud version."
"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"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."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"We would like the different tools offered within this solution to be available as standalone entities, rather than having to purchase the entire package when we only require a few features."
"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."
Informatica Data Quality is ranked 1st in Data Quality with 18 reviews while SAP Data Services is ranked 2nd in Data Quality with 45 reviews. Informatica Data Quality is rated 7.8, while SAP Data Services is rated 8.0. The top reviewer of Informatica Data Quality writes "Offers cloud version, good connectivity and data profiling features ". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium TS Quality and Oracle Data Quality, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry. See our Informatica Data Quality vs. SAP Data Services report.
See our list of best Data Quality vendors.
We monitor all Data Quality 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.
