SAS Data Integration Server vs SSIS comparison

SAS and Microsoft are both solutions in the Data Integration category. SAS is ranked #36 with an average rating of 7.5, while Microsoft is ranked #4 with an average rating of 7.8. SAS holds a 0.5% mindshare in DI, compared to Microsoft’s 7.9% mindshare. Additionally, 83% of SAS users are willing to recommend the solution, compared to 79% of Microsoft users who would recommend it.

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

629 Views
538 Comparison Views

83% willing to recommend

SSIS

Read 73 SSIS reviews

12,026 Views
8,992 Comparison Views

79% willing to recommend

SAS Data Integration Server

SSIS

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SSIS and SAS Data Integration Server are key competitors in the data integration field. SAS Data Integration Server has a competitive advantage with its advanced analytics features, providing comprehensive data management solutions.

Features: SSIS offers integration efficiency within the Microsoft ecosystem, ease of use, and broad compatibility with various data sources. SAS Data Integration Server provides robust data transformation capabilities, scalability, and integration of advanced analytics.

Ease of Deployment and Customer Service: SSIS supports seamless deployment in Microsoft environments and has a supportive community alongside Microsoft’s dependable support. SAS Data Integration Server, though having a steeper learning curve, offers robust support catering to complex data environments, excelling in handling intricate data tasks once deployed.

Pricing and ROI: SSIS is notable for its lower initial setup cost, making it an attractive option for budget-conscious companies, achieving reasonable ROI with integration efficiency. SAS Data Integration Server requires higher investment but delivers significant ROI through superior data processing and analytics capabilities.

To learn more, read our detailed SAS Data Integration Server vs. SSIS Report (Updated: April 2025).

Buyer's Guide

SAS Data Integration Server vs. SSIS

April 2025

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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

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

SSIS

Ranking in Data Integration

4th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of SAS Data Integration Server is 0.5%, up from 0.5% compared to the previous year. The mindshare of SSIS is 7.9%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

reviewer2937544

Works at a financial services firm with 5,001-10,000 employees

Offloads processes on the server side but needs better installation syntax

One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

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BobAmy

Sr. Architect - Data warehousing & BI at Molina Healthcare, Inc.

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.

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Quotes from Members

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

Pros

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

"The most valuable feature of the solution is its amazing capabilities in regard to data handling."

"The solution is very stable."

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

"The solution offers very good data manipulation and loading."

"SSIS' best feature is SFTP connectivity."

"Data Flows are the main component we use. These can range from a simple source to sink ETL, to many source to many sink dataflows."

"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."

"The UI is very user-friendly."

"It is easy to set up. The deployment is also very quick."

"Like most Microsoft products, SSIS is user-friendly and easy to use."

"SSIS is an easy way to do data integration from various data sources. It doesn't matter whether it's a database, flat files, XML, or Web API. It can talk to the and join them all together."

More SSIS pros

Cons

"The transform tool has limited access. They should make it more flexible."

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

"So I would like to see improved integration with other software."

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

"One area for improvement is the installation process."

"The initial setup of SAS Data Integration Server was complex."

"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."

"I would like to see more features in terms of the integration with Azure Data Factory."

"The performance of this solution is not as good as other tools in the market."

"Tuning using this solution requires extensive expertise to improve performance."

"It's a legacy tool, that is nearing the end of its useful life."

"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."

"The solution could improve on integrating with other types of data sources."

"Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included."

More SSIS cons

Pricing and Cost Advice

"It is an expensive program."

"SSIS' licensing is a little high, but it gives good value for money."

"We purchased the standard edition of SQL Server and SSIS came with it free of charge."

"My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."

"If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to licensing, SSIS can be expensive."

"We have an enterprise license for this solution."

"All of my clients have this product included as part of their Microsoft license."

"The solution is available at a lesser price than that of Informatica."

"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."

More SSIS pricing and cost advice

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Comparison Review

it_user90069

BI Expert at a healthcare company with 1,001-5,000 employees

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…

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

14%

Government

12%

Insurance Company

Financial Services Firm

19%

Computer Software Company

12%

Government

Healthcare Company

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.

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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.

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What needs improvement with SAS Data Integration Server?

See all answers

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...

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What do you like most about SSIS?

The product's deployment phase is easy.

See all answers

What is your experience regarding pricing and costs for SSIS?

Utilizing SSIS involves no extra charges beyond the SQL Server license. It's an economical choice for my clients.

See all answers

Comparisons

Azure Data Factory vs SAS Data Integration Server

Compared 26% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 20% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 15% of the time

AWS Glue vs SAS Data Integration Server

Compared 12% of the time

More SAS Data Integration Server Competitors

Informatica PowerCenter vs SSIS

Compared 19% of the time

Talend Open Studio vs SSIS

Compared 12% of the time

Oracle Data Integrator (ODI) vs SSIS

Compared 7% of the time

IBM InfoSphere DataStage vs SSIS

Compared 7% of the time

dbt vs SSIS

Compared 5% of the time

More SSIS Competitors

Product Reports

Buyer's Guide

Data Integration

March 2025

Download SAS Data Integration Server product report

Buyer's Guide

SSIS

April 2025

Download SSIS product report

Also Known As

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

SQL Server Integration Services

Overview

SAS Data Integration Server is a powerful, configurable and comprehensive solution that can meet a wide variety of data integration requirements, from small tactical projects to strategic business initiatives. It can access virtually all data sources, support data warehousing, migration, synchronization, federation and provisioning initiatives. It can support both batch-oriented and real-time master data management solutions. It can create reusable data integration services in support of service-oriented architectures and data governance and extract, cleanse, transform, conform, aggregate, load and manage data.

SAS

SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

Microsoft

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

Buyer's Guide

SAS Data Integration Server vs. SSIS

April 2025

Free Report: SAS Data Integration Server vs. SSIS

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