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 7.7, while SAS is ranked #37 with an average rating of 7.5. Informatica holds a 4.2% 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

7,761 Views
4,961 Comparison Views

93% willing to recommend

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

584 Views
442 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: May 2025).

Buyer's Guide

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

May 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 (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

SAS Data Integration Server

Ranking in Data Integration

37th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.2%, down from 6.7% compared to the previous year. The mindshare of SAS Data Integration Server is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Saikat Ghosh

Consulting Principal & Founder at Digital Data Consultancy

Match and merge functionality is still the best but cloud version needs more functionality

There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

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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 Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."

"The application integration will give you more flexibility when dealing with APIs."

"The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data."

"The solution is easier to use compared to the other solutions."

"It has a more UI-based tool, and the scripting is good."

"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."

"You can extract and transfer your data as you wish it to be consumed later."

"It is easy to create REST-based interfaces of the master data objects."

More Informatica Intelligent Data Management Cloud (IDMC) pros

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

"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 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

"The setup is complex."

"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."

"The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview."

"The tool should provide a unified user interface to manage the data objects."

"The UI is terrible and not user-friendly."

"I have received feedback from certain teams and there is a steep learning curve to use this solution."

"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."

"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

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

"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."

"One area for improvement is the installation process."

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

Pricing and Cost Advice

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

"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."

"It's offers value for money. They're more competitive with respect to pricing and offerings."

"Informatica is very expensive."

"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."

"It is an expensive solution. I would say it is the most expensive solution in the market."

"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."

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

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

17%

Computer Software Company

12%

Manufacturing Company

Insurance Company

Financial Services Firm

27%

Computer Software Company

12%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 ...

See all answers

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.

See all answers

What needs improvement with SAS Data Integration Server?

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Comparisons

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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

Compared 4% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

Collibra Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

SSIS vs SAS Data Integration Server

Compared 31% of the time

Azure Data Factory vs SAS Data Integration Server

Compared 24% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 17% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 14% of the time

AWS Glue vs SAS Data Integration Server

Compared 13% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

April 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Integration

June 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) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

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

May 2025

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