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 very easy to use it to develop mappings and workflows."
"Good product if you are trying implement data quality, data integration, and data management projects."
"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."
"Informatica PowerCenter has been implementing mapping design, data flow, and workflow execution for years."
"It works with any multi-databases, so it works with Sybase, SQL Server. Also, the performance is really good and it is easy to use."
"It is very comprehensive in terms of connector and transformation capabilities from both a source and target perspective."
"What I like most about Informatica PowerCenter is that it's the best tool in the market for data integration. Currently, I work in L'Oréal, where a new system from SAP is used. Informatica PowerCenter integration with SAP is very, very fast and very, very simple, so you have the server flow from SAP, and through Informatica PowerCenter, you can ingest the data and make that data available for the business more quickly."
"It is UI friendly and has all the advantages of an ETL tool."
"If you compare it to SQL, the memory and development times are very quick."
"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."
"The tool is reliable, quick, and powerful."
"The technical support is excellent."
"The product offers very good flexibility."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"This is an established product with powerful data analysis and varied options for user entry points."
"We need another tool for monitoring. It would be easier if all the features were consolidated into one tool."
"The UI is outdated and old-fashioned, at least in our current version. Also, we have experienced some stability issues with the Workflow Monitor application."
"An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing."
"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."
"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."
"As a connector to big data, it is not well developed. We've had problems connecting Informatica with Hadoop. The functionality to connect Informatica with Hadoop, for me it's not good."
"PowerCenter has three clients. I wish they would consolidate everything into one GUI, not three. Also, we had a persistent issue with the Informatica Developer tool but it was solved when we migrated to the newest one."
"They should release new versions for the solution's on-premises setup."
"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."
"The solution could use better documentation."
"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 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."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while SAS Data Management is ranked 40th 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 Microsoft Purview, Tungsten RPA, IBM InfoSphere DataStage, Collibra Governance and Palantir Foundry.
See our list of best Data Integration vendors.
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.