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 tool is reliable, quick, and powerful."
"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."
"The product offers very good flexibility."
"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."
"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 simplicity of the solution is great. The solution also offers excellent integration."
"SSIS' best feature is SFTP connectivity."
"It is easy to set up. The deployment is also very quick."
"SSIS provides you with lookup and transformation functions, and you have the flexibility to write your own custom code."
"The product's deployment phase is easy."
"The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."
"It has the ability to be deployed into the cloud through Data Factory, and run completely as a software as a service in the cloud."
"The initial setup was easy."
"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."
"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 solution is quite expensive and hard to install/configure."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"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."
"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."
"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."
"The performance of SSIS could improve when comparing it to Oracle Database."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"Improvement as per customer requirements."
"At one point, we did have to purchase an add-on."
"Options for scaling could be improved."
"We'd like them to develop data exploration more."
"I would like to see more features in terms of the integration with Azure Data Factory."
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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