We performed a comparison between Informatica PowerCenter and SAS Data Management based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."It has very good monitoring and process monitoring."
"I would recommend that others considering the solution go ahead and use it for any batch and high volume loads with complex transactions."
"Good interface, reasonable documentation."
"The interface is very clean and clear."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"We have found the PowerCenter and B2B data transformation most valuable."
"It is UI friendly and has all the advantages of an ETL tool."
"Reusable definition of data sources and the out-of-the-box availability of a large number maplets for common transformation functions."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"The tool is reliable, quick, and powerful."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The product offers very good flexibility."
"If you compare it to SQL, the memory and development times are very quick."
"I am impressed with the tool's ability to customize."
"This is an established product with powerful data analysis and varied options for user entry points."
"The UI is a little outdated."
"PowerCenter could integrate better with cloud applications. We had to do a lot of configuration work using API integrations to connect with cloud applications. Informatica Cloud Data Integration has a generic connector that you can use directly, so it's much easier."
"It would be nice to have all tools in one place. CDC needs more effort, as it's only easy to develop if you are familiar with Linux."
"While on-premises is a better product, we really need to move to the cloud and need the cloud to be as robust as this product."
"What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."
"Support could be better."
"They should release new versions for the solution's on-premises setup."
"Its interface can be modernized. It is an old product. I have been working with it for 14 years, and it still looks the same. It hasn't been modernized much. It also needs to handle more modern formats, such as JSON files. It works with the old text files and databases, but it does not always work with the newer, modern stuff. You need to make your own programs to support that kind of stuff. Support is also a kind of difficult with Informatica. They don't do direct support and rely on using their distributors around the globe for support, which means that you kind of have to go through this layer of different companies before you get help."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"I would like the tool to include the ability to automate the modifications of the integrations."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"The solution is quite expensive and hard to install/configure."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"The solution could use better documentation."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Informatica PowerCenter is rated 8.0, while SAS Data Management is rated 8.4. The top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas SAS Data Management is most compared with Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage, Palantir Foundry and SSIS.
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