We performed a comparison between SAS Data Management and SSIS 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 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."
"The tool is reliable, quick, and powerful."
"I am impressed with the tool's ability to customize."
"If you compare it to SQL, the memory and development times are very quick."
"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."
"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."
"SSIS' most valuable feature is its reporting services."
"We like that this solution includes a developer edition, free of charge, to allow for training."
"The UI is very user-friendly."
"SSIS' best feature is SFTP connectivity."
"We can connect with multiple data sources easily using an external connector in SSIS."
"You can get data from any data source with SSIS and dump it to any outside source. It is helpful. Getting, extracting, converting, and dumping data doesn't require much effort because we can do everything in the user interface. You drag and drop, then give the required input. It's intuitive."
"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."
"The solution could use better documentation."
"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."
"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."
"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."
"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."
"Sometimes, there are compatibility issues with some features. From time to time, I also face issues when trying to migrate. If I misconfigure things when I use Snapshot, the migration will fail.It can take a long time to migrate huge amounts of data, so it would be nice if that could be faster."
"SSIS sometimes hangs, and there are some problems with servers going down after they've been patched."
"It needs more integration tools, so you can connect to different sources."
"It would be nice if you could run SSIS on other environments besides Windows."
"The creation of the measure in the DAC's model could be improved."
"It's difficult to refactor SSIS. It gets cumbersome to reuse the solution."
"I would like to see better integration with Power BI."
"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."
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 Data Governance, 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. See our SAS Data Management vs. SSIS 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.