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's a complete package, which is why we use this solution."
"The most valuable features are the metadata repository and the data warehouse application console."
"Among all the solutions I have used, I found Informatica PowerCenter to be much more stable in terms of application."
"The setup is very simple."
"The greatest feature is that it is very easy to have someone come in and jump right in. It is one of the nicest tools in terms of getting a person acquainted quickly."
"If the systems get migrated or upgraded, the amount of resources required are very minimal. We can change the connections and establish a new connection. It's very helpful."
"It is very comprehensive in terms of connector and transformation capabilities from both a source and target perspective."
"The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."
"If you compare it to SQL, the memory and development times are very quick."
"I am impressed with the tool's ability to customize."
"The technical support is excellent."
"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."
"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."
"This is an established product with powerful data analysis and varied options for user entry points."
"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."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"This solution needs the functionality to do batch processing of data. It also lacks connectivity to NoSQL, unstructured data sources."
"Integration with Artificial Intelligence would benefit this solution."
"Informatica, in my opinion, is very rigid and not very flexible, whereas platforms like Alteryx or Matillion are very flexible and agile."
"The price of the product is an area of concern where improvements are required, considering the fact that the present licensing charges of the tool are expensive."
"Its scalability can be improved. It is not scalable."
"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."
"Areas for improvement in Informatica PowerCenter include scalability and high availability or the clustering configuration because that's still very basic. The elasticity or scaling of the platform needs a lot of improvement. For example, when it comes to DR handling or building an active-active or active-passive cluster, Informatica PowerCenter is still not that powerful. Automation also needs improvement in the solution. Improving automation leads to some improvement in the stability of Informatica PowerCenter and other aspects related to it. What I'd like to see in the next release of Informatica PowerCenter is real-time capability because the solution is mainly for patches, and to have real-time integration, you need to count on some additional components from Informatica. I would expect more integration and a complete platform in terms of real-time capability or patching with minimal interventions or minimal components to be aligned together."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"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."
"The solution is quite expensive and hard to install/configure."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"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."
"I would like the tool to include the ability to automate the modifications of the integrations."
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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