We performed a comparison between SAS Data Management and SSIS based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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 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."
"I am impressed with the tool's ability to customize."
"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."
"If you compare it to SQL, the memory and development times are very quick."
"The most important features are it works well and provides self-service BI."
"SSIS is easy to use."
"The most valuable features of this solution are the fast insert and fuzzy logic matching."
"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."
"The most valuable feature of SSIS is that it can handle real complex transformations."
"We can connect with multiple data sources easily using an external connector in SSIS."
"SSIS integrates well with SQL servers and Microsoft products."
"The solution is easy to use and developer friendly."
"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."
"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 pricing of the solution needs to be improved. They need to work to make it more affordable."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The solution could use better documentation."
"I would also like to see full integration with our BI because then our full load of data will be available in our organization. They should incorporate an ATL process."
"I would like to see better integration with Power BI."
"I would like to see more standard components out of the box, such as SFTP, and Data Compression components."
"We In upgrading SSIS, we encountered challenges fixing SQL Server and performance issues, including problems during a failover in our data warehouse."
"It hangs a lot of the time."
"We'd like them to develop data exploration more."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"It's a legacy tool, that is nearing the end of its useful life."
SAS Data Management is ranked 43rd in Data Integration with 15 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. SAS Data Management is rated 8.4, while SSIS is rated 7.6. The top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Collibra Governance, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue.
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