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SAS Data Integration Server vs SSIS comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

SAS Data Integration Server
Ranking in Data Integration
36th
Average Rating
7.4
Reviews Sentiment
6.9
Number of Reviews
3
Ranking in other categories
No ranking in other categories
SSIS
Ranking in Data Integration
4th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
72
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Data Integration category, the mindshare of SAS Data Integration Server is 0.6%, down from 0.6% compared to the previous year. The mindshare of SSIS is 8.9%, down from 9.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

reviewer1752714 - PeerSpot reviewer
A stable and scalable tool with data handling capabilities and an amazing technical support
I am from the data visualization team and used SAS VA and SAS Data Integration Server. This year, my team has stopped the use of SAS VA and SAS Data Integration Server. We have a separate team that uses SAS Data Integration Server since they belong to the data management team. I recommend the solution to those organizations that have a very large scale of data to handle so that they can utilize the solution's data handling capabilities. Organizations can go with the solution's on-premises or cloud version. Since the cost of the on-premises version of the solution is huge, I recommend businesses go with the cloud version. I rate the overall product between seven to eight out of ten.
BobAmy - PeerSpot reviewer
Robust and does a good job of handling overload conditions
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. I believe there are ways to build a model and set variables so that it can be a generic process. In my next system, I would like to have a generic process that would handle all the logging and processing in a model that can be modified and enhanced as the need for a better process, or different statistics to be logged is discovered. I'd want this in a way that the model can be changed and all the processes, with their unique parameters, could all be changed with the model upgraded. I believe they should add some features that help to create the code using a model. This would allow for continuous improvement of the model uses and easy replication of all the different programs that use the model.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution is very stable."
"The solution offers very good data manipulation and loading."
"The initial setup was easy."
"The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."
"This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language."
"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."
"I like that this solution is very scalable, accommodating large datasets and various types of servers. It integrates with most common database servers and allows for customization through coding, including complex scripts. Compared to Alteryx Designer, SSIS offers more customization. Its data cleaning capabilities are highly accurate because we can run tests as data is loaded, ensuring it meets all requirements before reaching the final destination. The ability to write custom SQL and C# code within SSIS packages is its greatest feature."
"The most valuable feature of SSIS is its ease of use. It is easier to use than other applications."
"It is easy to set up the product."
"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."
 

Cons

"The initial setup of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
"So I would like to see improved integration with other software."
"This solution needs full support for real-time processing."
"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."
"We would like the solution to be expanded so that it is available for other platforms than just Microsoft."
"The creation of the measure in the DAC's model could be improved."
"Tuning using this solution requires extensive expertise to improve performance."
"There were some issues when we tried to connect it to data storage. It was a connection issue."
"Generic processes should be used instead of custom code for each table."
"SSIS doesn't have a very good user interface, but if you can work with it, it'll provide you with almost all of the functionality."
 

Pricing and Cost Advice

"It is an expensive program."
"Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license."
"This solution is a free of charge addition to our SQL licence. However, the only way this tool can be utilized is as a feature of the SQL licence, which may make it unattractive to organizations who don't wish to purchase the wider-ranging licence."
"Our license with SSIS is annual."
"This solution is included with the MSSQL server package."
"My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
"It would be beneficial if the solution had a less costly cloud offering."
"We have an enterprise license for this solution."
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Comparison Review

it_user90069 - PeerSpot reviewer
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
13%
Government
11%
Insurance Company
9%
Financial Services Firm
18%
Computer Software Company
12%
Government
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about SAS Data Integration Server?
The most valuable feature of the solution is its amazing capabilities in regard to data handling.
What is your experience regarding pricing and costs for SAS Data Integration Server?
I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.
What needs improvement with SAS Data Integration Server?
Visualization is an area with a few shortcomings in the product. Some new and amazing visualization capabilities have been added to the product, but I haven't used them enough to be able to comment...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
What do you like most about SSIS?
The product's deployment phase is easy.
 

Also Known As

SAS Enterprise Data Integration Server, Enterprise Data Integration Server
SQL Server Integration Services
 

Learn More

Video not available
 

Overview

 

Sample Customers

Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance
1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
Find out what your peers are saying about SAS Data Integration Server vs. SSIS and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.