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."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."
"If you compare it to SQL, the memory and development times are very quick."
"The product offers very good flexibility."
"I am impressed with the tool's ability to customize."
"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."
"The ability of SSIS to transform and transport data is extremely valuable to me. It allows for intelligent extraction and manipulation of data during the process. Improved error handling would enhance ETL processes further. I haven't directly utilized the data flow components but they seem capable of supporting complex data integration needs."
"The product's deployment phase is easy."
"I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import."
"The interface is very user-friendly."
"It's saved time using visualization descriptions."
"Built in reports show package execution and messages. Logging can also be customized so only what is needed is logged. There is also an excellent logging replacement called BiXpress that provides both historical and real-time monitoring which is more efficient and much more robust than the built-in logging capabilities. And none of this requires custom coding to make it useful unlike many other ETL tools."
"This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language."
"The most important features are it works well and provides self-service BI."
"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."
"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."
"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."
"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 solution could use better documentation."
"When I compare Talend and SSIS, Talend provides more features. With Talend, we can handle a large volume of data. Talend is usually used to treat a large volume of data, which makes it better than SSIS on the data side. Talend also has a very good Talend Management Console to schedule the jobs and do other things. It can also be easily connected to version control tools such as GitHub or SVN. The last time I used SSIS, it was connected through TSS for the Windows Console version. I am not sure it has been improved or not. If it is not improved, Microsoft should improve it. They should change the product to provide another console."
"I would like to see better integration with Power BI."
"We have a stability problem because when something works, it works one time. The next time, it doesn't work."
"We've had issues in terms of the amount of data that is transferred when we are scheduling."
"SSIS can improve in handling different data sources like Salesforce connectivity, Oracle Cloud's connectivity, etc."
"The high prices attached to the product can be an area of concern where improvements are required."
"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."
"Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included."
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, Palantir Foundry 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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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.
