We performed a comparison between IBM InfoSphere Information Server and SAS Data Management based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The integration with different technologies is the most valuable feature."
"Stability-wise, I rate the solution a ten out of ten."
"This solution is extremely flexible and scalable."
"IBM InfoSphere Information Server is stable."
"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."
"I am impressed with the tool's ability to customize."
"The technical support is excellent."
"The tool is reliable, quick, and powerful."
"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."
"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."
"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."
"This solution would benefit from the engine being made more lightweight."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
"Their technical support needs improvement."
"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 could use better documentation."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The solution is quite expensive and hard to install/configure."
"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."
"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 pricing of the solution needs to be improved. They need to work to make it more affordable."
More IBM InfoSphere Information Server Pricing and Cost Advice →
IBM InfoSphere Information Server is ranked 36th in Data Integration with 7 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. IBM InfoSphere Information Server is rated 8.4, while SAS Data Management is rated 8.4. The top reviewer of IBM InfoSphere Information Server writes "Prompt support, reliable, but lacking scalability". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". IBM InfoSphere Information Server is most compared with IBM InfoSphere DataStage, Qlik Replicate, IBM Watson Knowledge Catalog, IBM Cloud Pak for Data and Oracle GoldenGate, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview Data Governance, SSIS and IBM InfoSphere DataStage. See our IBM InfoSphere Information Server vs. SAS Data Management report.
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.