We performed a comparison between SAS Data Integration Server 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 solution is very stable."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution offers very good data manipulation and loading."
"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."
"It is easy to set up the solution."
"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."
"With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server."
"It's already very user-friendly and has a good dashboard."
"It is easy to set up. The deployment is also very quick."
"There are many good features in this solution including the data fields, database integration, support for SQL views, and the lookups for matching information."
"SSIS is easy to use."
"The transform tool has limited access. They should make it more flexible."
"So I would like to see improved integration with other software."
"The initial setup of SAS Data Integration Server was complex."
"We purchase an add on called task factory primarily to allow bulk delete, update and upsert capability. I'd like to see this be part of the standard package."
"The performance of this solution is not as good as other tools in the market."
"Video training would be a helpful addition."
"Generic processes should be used instead of custom code for each table."
"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."
"SSIS can improve by the minimum code requirements in stored procedures and exporting data is difficult. They could make it easier, it should be as easy as it is to import data."
"SSIS is cumbersome despite its drag-and-drop functionality. For example, let's say I have 50 tables with 30 columns. You need to set a data type for each column and table. That's around 1,500 objects. It gets unwieldy adding validation for every column. Previously, SSIS automatically detected the data type, but I think they removed this feature. It would automatically detect if it's an integer, primary key, or foreign key column. You had fewer problems building the model."
"Sometimes when we want to publish to other types of databases it's not easy to publish to those databases. For example, the Jet Database Engine. Before the SSIS supported Jet Database Engine but nowadays it doesn't support the Jet Database Engine. We connect to many databases such as Access database, SparkPros databases and the other types of databases using Jet Database Engines now and SSIS now doesn't seem to support it in our databases."
SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. SAS Data Integration Server is rated 7.4, while SSIS is rated 7.6. The top reviewer of SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". SAS Data Integration Server is most compared with Palantir Foundry, Oracle Data Integrator (ODI), Azure Data Factory, AWS Glue and AWS Database Migration Service, 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 Integration Server 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.
