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

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

"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."

"The solution is very stable."

"The most valuable features of SSIS are that it works with the query language and it can import data from different sources."

"SSIS provides you with lookup and transformation functions, and you have the flexibility to write your own custom code."

"With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server."

"The reporting on the solution is perfect. I didn't expect to see reporting features, but they are great."

"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 integrates well with SQL servers and Microsoft products."

"The setup is straightforward. It's very easy to install."

"We can connect with multiple data sources easily using an external connector in SSIS."

More SSIS pros

Cons

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

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

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

"One area for improvement is the installation process."

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

"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."

"I would like to see better technical documentation because many times information is missing."

"There are a lot of things that Microsoft could improve in relation to SSIS. One major problem we faced was when attempting to move some Excel files to our SQL Server. The Excel provider has a limitation that prevents importing more than 255 columns from a particular Excel file to the database. This restriction posed a significant issue for us."

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

"The interface could use improvement, as well as the administrative tools. Jobs fail from time to time for different reasons. It's not a problem with Microsoft, or SSIS itself. The problems are external, but to find the problems and analyze them it takes too much time."

"Integration and the user interface are areas with certain shortcomings that require some improvements."

"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."

"Microsoft should offer an on-premises support warranty for those using that deployment. They seem to be withdrawing from on-premises options."

More SSIS cons

Pricing and Cost Advice

"It is an expensive program."

"The solution is economical. You don't have to worry about the pricing as long as you're installing both services on the same server."

"People have to opt for a perpetual-based licensing model."

"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."

"SSIS is fairly well-priced - I would rate it at four out of five."

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

"t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base."

"This solution has provided an inexpensive tool, and it is easy to find experienced developers."

"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."

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

13%

Government

12%

Insurance Company

Financial Services Firm

18%

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.

See all answers

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 19% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 14% 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

March 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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