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 #3 with an average rating of 7.8, while SAS is ranked #41 with an average rating of 7.0. Informatica holds a 3.6% mindshare in DI, compared to SAS’s 0.6% mindshare. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 83% of SAS users who would recommend it.

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

20,563 Views
6,169 Comparison Views

93% willing to recommend

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

842 Views
623 Comparison Views

83% willing to recommend

Informatica Intelligent Dat...

SAS Data Integration Server

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Informatica Intelligent Data Management Cloud (IDMC) and SAS Data Integration Server both compete in the data management category. IDMC seems to have the upper hand with its modern cloud-based approach.

Features: IDMC offers advanced AI-driven data integration, seamless data management, and a wide array of supported data sources. SAS Data Integration Server provides comprehensive data handling, complex data processing, and integration with existing SAS tools.

Ease of Deployment and Customer Service: IDMC features a streamlined cloud-native deployment model with quick setup and strong customer support. SAS Data Integration Server has a more complex on-premise deployment with structured support channels.

Pricing and ROI: IDMC offers competitive subscription-based pricing with lower upfront costs and scalable investment for quick ROI. SAS Data Integration Server entails higher initial costs but offers significant long-term value for organizations with complex data needs.

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

Buyer's Guide

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

September 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

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

185

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

SAS Data Integration Server

Ranking in Data Integration

41st

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 5.9% compared to the previous year. The mindshare of SAS Data Integration Server is 0.6%, 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)	3.6%
SAS Data Integration Server	0.6%
Other	95.8%

Data Integration

Featured Reviews

SaurabhGaonshindhe

Principle Cloud Engineer at Sector 125

Modular structure and AI features stream new reporting processes

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

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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

"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."

"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."

"The product is scalable and excellent for enterprise-level organizations."

"We can see all our information on a single screen."

"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."

"The most valuable feature of Informatica Axon has been the data marketplace."

"The solution's technical support is pretty good, especially since the turnaround time is good."

"The best thing about Informatica Axon is that it integrates with the Electronic Data Capture and the Axon system."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"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."

"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."

Cons

"We promote our code changes from a lower to a higher environment, which is highly complex when working with a multi-domain MDM like Informatica. This is the biggest obstacle for Informatica MDM, and I think they should change it because that's very time consuming."

"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."

"The user interface of the product needs to be improved"

"It could be improved by including a buffer that saves data when there is a connectivity issue."

"Right now, although they offer some templates, I would want more templates available to be imported."

"The customer servive and support could be faster. There is a slow turnaround."

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

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

"One area for improvement is the installation process."

"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 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."

Pricing and Cost Advice

"The price of Informatica Cloud Data Integration could be reduced."

"We got a 50% discount."

"Informatica Axon is expensive."

"The price is neither too high nor too low."

"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."

"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."

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

"We have licenses, and we are provided with certain particular services in the solution."

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

10%

Insurance Company

Financial Services Firm

29%

Computer Software Company

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	24
Large Enterprise	134

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...

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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?

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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.

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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

Comparisons

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Compared 5% of the time

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Compared 4% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

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Compared 3% of the time

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Compared 17% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

October 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Integration

September 2025

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Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

Overview

Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.

IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.

What are the key features of IDMC?

Data Quality and Integration: Seamless integration ensures data accuracy across platforms.
Metadata Management: Comprehensive metadata management supports data governance.
AI Capabilities: AI features enhance automation and decision-making processes.
Data Marketplace: Facilitates easy access to data across the organization.
Performance Scalability: Scales performance efficiently to meet growing data demands.

What benefits should be expected from IDMC?

Enhanced Data Management: Offers robust tools for data governance and quality.
Improved Integration: Connects disparate systems seamlessly, reducing data silos.
Cost Efficiency: Streamlines data processes, potentially reducing operational costs.
Data Compliance: Supports compliance with data privacy regulations.
Agility and Scalability: Adapts quickly to changing data environments.

IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.

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

September 2025

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