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."PowerCenter performs well during data transformation and optimization."
"It is easy to use, and it is quick for developing things. It is fairly powerful, and it can integrate with a lot of different platforms without much hassle."
"The most valuable features are the monitoring tools and the reporting manager."
"I like the automated scheduling feature."
"Good product if you are trying implement data quality, data integration, and data management projects."
"The most valuable aspects of Informatica PowerCenter are the many features, ease of use, and user-friendliness."
"It reduces a lot of legacy coding."
"In the end, you have structured, proper data for use in an integrated BI solution."
"The product offers very good flexibility."
"The technical support is excellent."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"If you compare it to SQL, the memory and development times are very quick."
"I am impressed with the tool's ability to customize."
"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."
"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."
"This is an established product with powerful data analysis and varied options for user entry points."
"Support could be better."
"The licensing is difficult."
"The pricing could be improved."
"The documentation could be improved."
"I would like to see it be able to import data from NoSQL."
"It would be good to recreate the entire interface to make it easier for users to build workflows."
"Informatica are very rigid when it comes to cloud migrations which discourages customers in moving their solution to the cloud."
"An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing."
"I would like the tool to include the ability to automate the modifications of the integrations."
"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."
"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."
"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."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
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, Palantir Foundry, IBM InfoSphere DataStage and SSIS.
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