Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Integration Server comparison

Informatica and SAS are both solutions in the Data Integration category. Informatica is ranked #2 with an average rating of 8.0, while SAS is ranked #38 with an average rating of 7.0. Informatica holds a 3.7% mindshare in DI, compared to SAS’s 0.7% mindshare. Additionally, 92% of Informatica users are willing to recommend the solution, compared to 83% of SAS users who would recommend it.

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

21,813 Views
6,762 Comparison Views

92% willing to recommend

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

1,028 Views
781 Comparison Views

83% willing to recommend

Informatica Intelligent Dat...

SAS Data Integration Server

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Executive SummaryUpdated on Dec 11, 2025

Informatica Intelligent Data Management Cloud and SAS Data Integration Server compete in the data management sector. Informatica IDMC has an advantage due to its cloud-native flexibility, making it ideal for scalable cloud configurations.

Features: Informatica IDMC offers a cloud-native architecture for seamless data integration and automation. It supports flexible data strategies with ease of scalability. SAS Data Integration Server provides advanced data transformation functions and a suite of management tools suitable for complex environments.

Ease of Deployment and Customer Service: Informatica IDMC is noted for straightforward deployment in cloud settings and efficient customer service, simplifying the onboarding process. SAS Data Integration Server requires more intricate setup due to its powerful integration features, demanding expertise.

Pricing and ROI: Informatica IDMC delivers competitive pricing with a focus on cost-effectiveness and scalability, providing a strong ROI, particularly for growing enterprises. SAS Data Integration Server's higher upfront cost reflects its extensive capabilities ideal for enterprise-level management. Informatica's pricing offers more flexibility for dynamic integration needs.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Data Integration Server Report (Updated: December 2025).

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Data Integration Server

December 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

Informatica Intelligent Dat...

Ranking in Data Integration

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

214

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)

SAS Data Integration Server

Ranking in Data Integration

38th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.7%, down from 5.5% compared to the previous year. The mindshare of SAS Data Integration Server is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
SAS Data Integration Server	0.7%
Other	95.6%

Data Integration

Featured Reviews

Divya-Raj

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

Handles large data volumes effectively and offers competitive pricing

There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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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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Quotes from Members

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

Pros

"The user interface which is very easy to use if we have any problems to solve."

"The data quality component is very good."

"It provides all the typical MDM capabilities like deduplication and machine survivorship."

"The product improves data quality."

"Initial setup was fairly easy."

"The solution is stable."

"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."

"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."

More Informatica Intelligent Data Management Cloud (IDMC) pros

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

"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."

Cons

"The advertising makes promises about data analytics that it does not keep."

"User/group administration could use improvement."

"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."

"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."

"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."

"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

"Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

"Currently, there are limitations in processing and the interface."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

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

Pricing and Cost Advice

"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."

"Informatica MDM's pricing is not cheap but comparable to other vendors."

"The price is comparable."

"It's a very expensive solution"

"Informatica Axon is expensive."

"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"It is an expensive program."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

Retailer

Financial Services Firm

26%

Computer Software Company

Insurance Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

No data available

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

See all answers

Which Informatica product would you choose - PowerCenter or Cloud Data Integration?

Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...

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What are the biggest benefits of using Informatica Cloud Data Integration?

When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...

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What needs improvement with SAS Data Integration Server?

See all answers

What is your primary use case for SAS Data Integration Server?

I am involved in the ETR job. My role is focused on executing the ETR job.

See all answers

What advice do you have for others considering SAS Data Integration Server?

I use it without further details. For example, if I use SAS to connect to a NetEazt database or purchase a shared asset to ODBC, I can connect to any database with ODBC connection support. The over...

See all answers

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

January 2026

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Integration

December 2025

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Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

Overview

Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

Informatica

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

Sample Customers

The Travel Company, Carbonite

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

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Data Integration Server

December 2025

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