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."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 product offers very good flexibility."
"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."
"If you compare it to SQL, the memory and development times are very quick."
"I am impressed with the tool's ability to customize."
"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."
"The main value of any Microsoft product is the ease of use. You can achieve more with less time. That's what's beneficial for me. With many competitors, you might need to spend more time coming up with a solution because you have to focus on taking care of the product."
"The setup is straightforward. It's very easy to install."
"The data reader is the most valuable feature."
"The simplicity of the solution is great. The solution also offers excellent integration."
"The most valuable aspect of this solution is that it is simple to use and it offers a flexible custom script task."
"It is also easy to learn and user-friendly. Microsoft is also good in terms of technical support. They have built a large community all over the world."
"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."
"The solution is quite expensive and hard to install/configure."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"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."
"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."
"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."
"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."
"The high prices attached to the product can be an area of concern where improvements are required."
"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."
"SSIS should be made a little bit more intuitive and user-friendly because it needs an expert-level person to work on it."
"Tuning using this solution requires extensive expertise to improve performance."
"We'd like them to develop data exploration more."
"We're in the process of switching to Informatica, and we need to work out data lineage and data profiling and to improve the quality of our data. SSIS, however, is not that compatible with Informatica. We managed to connect it to Informatica Metadata Manager, but we don't get good lineage, so we have to redo all our ETLs using the Informatica process in order to accept the proper data lineage."
"The creation of the measure in the DAC's model could be improved."
"I come from a coding background and this tool is graphically based. Sometimes I think it's cumbersome to do mapping graphically. If there was a way to provide a simple script, it would be helpful and make it easier to use."
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 Palantir Foundry, 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.
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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.
