SAS Data Management vs SSIS comparison

SAS and Microsoft are both solutions in the Data Integration category. SAS is ranked #26 with an average rating of 9.3, while Microsoft is ranked #2 with an average rating of 7.9. SAS holds a 1.2% mindshare in DI, compared to Microsoft’s 3.6% mindshare. Additionally, 88% of SAS users are willing to recommend the solution, compared to 80% of Microsoft users who would recommend it.

SAS Data Management

Read 19 SAS Data Management reviews

4,330 Views
2,425 Comparison Views

88% willing to recommend

SSIS

Read 76 SSIS reviews

16,841 Views
13,810 Comparison Views

80% willing to recommend

SAS Data Management

SSIS

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SSIS and SAS Data Management compete in data integration and management. SAS Data Management may have an upper hand due to its comprehensive features, while SSIS is more cost-effective and well-supported.

Features: SSIS integrates seamlessly with Microsoft tools and supports scalability and real-time processing. It has strong ETL capabilities, making it ideal for large data volumes. SAS Data Management offers advanced data quality and data governance features, as well as superior analytics, which exceed the ETL focus of SSIS. SAS is viewed as more suitable for complex data environments with its robust analytical tools.

Room for Improvement: SSIS could improve its analytical capabilities and expand its data source support beyond Microsoft environments. Enhancing its data quality features would also benefit users. Conversely, SAS Data Management can simplify its deployment process and improve cost efficiency. Offering better integration with non-SAS platforms would also be advantageous.

Ease of Deployment and Customer Service: SSIS benefits from easy integration within Microsoft's ecosystem, making it straightforward to install and use. It provides good customer support. SAS Data Management, although potentially more complex to deploy, offers excellent support services and thorough documentation. The distinction lies in SSIS’s straightforward deployment versus SAS’s thorough support experience.

Pricing and ROI: SSIS is generally more affordable with lower initial costs, appealing to budget-conscious organizations. It provides a good ROI within Microsoft environments. SAS Data Management, though more expensive, is seen as worth the investment by some due to its extensive feature set and capacity to handle complex datasets, weighing higher initial cost against long-term value.

To learn more, read our detailed SAS Data Management vs. SSIS Report (Updated: June 2026).

Buyer's Guide

SAS Data Management vs. SSIS

June 2026

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Helped 900,747 peers since 2012

Review summaries and opinions

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

ROI

Sentiment score

6.1

SAS Data Management enhances ROI by improving data accuracy and reliability while reducing costs, especially for larger organizations.

Sentiment score

6.5

SSIS is cost-effective, enhancing data management efficiency and integration with SQL Server, providing significant operational and financial benefits.

Reliable data plus less human intervention and less error result in a strong return on investment.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

For more quotes and insights, download the SAS Data Management report

The tool has made us tremendously more efficient and saved us a significant amount of money.

Chris Farris

Manager, Data Operations at a manufacturing company with 5,001-10,000 employees

Using SSIS has proven cost-effective as there are no additional fees outside the SQL Server license, and it significantly enhances data management efficiency.

Albert Lacerda

Managing Partner at Dynamis Informatica

For more quotes and insights, download the SSIS report

Customer Service

Sentiment score

7.3

SAS Data Management customer service is praised for responsiveness and expertise, but experiences vary by region and complexity.

Sentiment score

6.0

Users find Microsoft support adequate for critical issues but often use online resources and community support for minor ones.

The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

The first line of support needs to be more knowledgeable.

Chris Farris

Manager, Data Operations at a manufacturing company with 5,001-10,000 employees

For more quotes and insights, download the SSIS report

Scalability Issues

Sentiment score

7.0

SAS Data Management is scalable and adaptable, efficiently handling extensive data and users across various roles and locations.

Sentiment score

6.7

SSIS is effective for small to medium enterprises but may face challenges with scalability and performance for large datasets.

No quotes available

For more quotes and insights, download the SAS Data Management report

I would rate the scalability of SSIS at a 7 because we are able to use various third-party items with it, allowing for functionality with a number of different things.

reviewer2318280

Tech Lead at a consultancy with 11-50 employees

For more quotes and insights, download the SSIS report

Stability Issues

Sentiment score

7.3

SAS Data Management is stable and efficient, excelling on Linux, though minor issues exist with the Windows client.

Sentiment score

7.4

SSIS is highly rated for stability and performance, though minor issues and cloud discrepancies are occasionally noted by users.

No quotes available

For more quotes and insights, download the SAS Data Management report

It processes large volumes of data quickly.

Albert Lacerda

Managing Partner at Dynamis Informatica

For more quotes and insights, download the SSIS report

Room For Improvement

Users seek cost-effective improvements in installation, integration, analytics, cloud scalability, user interface, documentation, and data sharing capabilities.

SSIS needs enhanced error logging, diverse data integration, user management, ease of use, scalability, and better documentation support.

SAS Data Management can be improved in terms of the learning curve.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

For more quotes and insights, download the SAS Data Management report

Within the South African context, if you are getting your enterprise agreement from First Technology, they don't provide support.

Sean Achim

Managing Director at Knights Innovation Support Centre

The logging capabilities could be improved, particularly for error logging.

Chris Farris

Manager, Data Operations at a manufacturing company with 5,001-10,000 employees

SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly.

reviewer2318280

Tech Lead at a consultancy with 11-50 employees

For more quotes and insights, download the SSIS report

Setup Cost

SAS Data Management's robust features lead to high costs, perceived as valuable, yet budget constraints may limit adoption.

SSIS is economical with SQL Server licenses, offering favorable pricing and integration, though add-ons may increase costs.

From my experience, SAS Data Management is an expensive tool.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

For more quotes and insights, download the SAS Data Management report

However, it could be a bit cheaper.

reviewer2318280

Tech Lead at a consultancy with 11-50 employees

Utilizing SSIS involves no extra charges beyond the SQL Server license.

Albert Lacerda

Managing Partner at Dynamis Informatica

It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.

Chris Farris

Manager, Data Operations at a manufacturing company with 5,001-10,000 employees

For more quotes and insights, download the SSIS report

Valuable Features

SAS Data Management provides reliable interfaces, robust governance, analytics, and security, making it ideal for diverse industries and users.

SSIS offers efficient, scalable ETL with seamless Microsoft integration, user-friendly interface, flexibility, and cost-effectiveness, enhancing data processes.

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

I would rate it at a 10 as it is highly reliable; we have never had any problems with it.

Chris Farris

Manager, Data Operations at a manufacturing company with 5,001-10,000 employees

One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.

Albert Lacerda

Managing Partner at Dynamis Informatica

The challenge lies in Microsoft withdrawing a lot of the qualifications and watering down its emphasis, leading to a perception that this is supposed to be an elite product.

Sean Achim

Managing Director at Knights Innovation Support Centre

For more quotes and insights, download the SSIS report

Categories and Ranking

SAS Data Management

Ranking in Data Integration

26th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Quality (6th), Data Governance (24th)

SSIS

Ranking in Data Integration

2nd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of SAS Data Management is 1.2%, up from 0.9% compared to the previous year. The mindshare of SSIS is 3.6%, down from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SSIS	3.6%
SAS Data Management	1.2%
Other	95.2%

Data Integration

Featured Reviews

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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Chris Farris

Manager, Data Operations at a manufacturing company with 5,001-10,000 employees

User-friendly interface facilitates efficient data migration and reduces operational overhead

Its usability and ease of use are standout features. It is really easy to use - almost too easy at times. Users don't have to be experts to use their tool set and utilize the clicking mechanisms, drop down boxes, and other features to build a package and run it. The configuration is very easy and the system is very stable. I would rate it at a 10 as it is highly reliable; we have never had any problems with it. Very little maintenance is required on my side. While you need to keep the product up to date, the maintenance requirements are minimal. SSIS integrates with all Microsoft tools seamlessly. We have used it against Oracle, DB2 and SQL. It integrates and can move data around from any data platforms, making it very diverse in that standpoint. It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.

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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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

18%

Government

Comms Service Provider

Construction Company

Financial Services Firm

14%

Government

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	19
Large Enterprise	57

Questions from the Community

What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

See all answers

What needs improvement with SAS Data Management?

SAS Data Management can be improved in terms of the learning curve.

See all answers

What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

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...

See all answers

What is your experience regarding pricing and costs for SSIS?

Pricing is pretty reasonable, so I would rate it at a 5. However, it could be a bit cheaper.

See all answers

What needs improvement with SSIS?

SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly. The initial setup for SSIS is somewhat complex in the beginning, but once you und...

See all answers

Comparisons

Informatica PowerCenter vs SAS Data Management

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 8% of the time

WhereScape RED vs SAS Data Management

Compared 8% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

More SAS Data Management Competitors

Informatica PowerCenter vs SSIS

Compared 4% of the time

Oracle Data Integrator (ODI) vs SSIS

Compared 4% of the time

Skyvia vs SSIS

Compared 3% of the time

Fivetran vs SSIS

Compared 3% of the time

dbt vs SSIS

Compared 3% of the time

More SSIS Competitors

Product Reports

Buyer's Guide

SAS Data Management

May 2026

Download SAS Data Management product report

Buyer's Guide

SSIS

May 2026

Download SSIS product report

Also Known As

SAS Data Management Platform, Data Management Platform, DataFlux

SQL Server Integration Services

Overview

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

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

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, 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 Management vs. SSIS

June 2026

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