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

 

Comparison Buyer's Guide

Executive Summary

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...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (3rd), 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 MDM
Average Rating
8.0
Reviews Sentiment
8.2
Number of Reviews
1
Ranking in other categories
Master Data Management (MDM) Software (14th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Informatica Intelligent Data Management Cloud (IDMC) is designed for Data Management Platforms (DMP) and holds a mindshare of 14.3%, up 13.1% compared to last year.
SAS MDM, on the other hand, focuses on Master Data Management (MDM) Software, holds 2.7% mindshare, up 1.3% since last year.
Data Management Platforms (DMP)
Master Data Management (MDM) Software
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
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.
reviewer1320117 - PeerSpot reviewer
When a client wants an analytics tool plus BI, that is when we look to this solution
Having used SAS in the past, in the role that I play, I always push for SAS and all the analytics. But without having done a full comparison with other tools, I do not feel I'm in a position to say that there are capabilities available with SAS that are not in the other tools. But from a practical perspective, I would definitely recommend this solution. I rate it at eight out of 10 because I still want to explore it a bit more. I have only used it for three clients, and not as a full-blown MDM asset. If you are running a complex use case, I may or may not be in a position to justify the use of this product at this point in time. I would be 80 percent comfortable doing so and that's why I'm giving it a score of eight.

Quotes from Members

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

Pros

"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"The user interface which is very easy to use if we have any problems to solve."
"​The tool manually checks on applying business rules and helps to implement them."
"The solution's initial setup is quite straightforward."
"I give the stability a ten out of ten."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a 10 out of 10."
"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
"One good feature is that SAS MDM comes bundled with the entire stack so we are in a position to place it with the client. So when a client wants an analytics tool plus BI, and they want to bring in other elements, that is when we look to MDM, because it is a single vendor."
 

Cons

"The cloud version could be better in terms of pricing."
"It is not easy to set up and configure the tool."
"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."
"Once the data is masked, we won't be able to reverse it back to its original value."
"It needs to be a little more intuitive but it’s really not bad."
"They need more feature flexibility, as it is not fully developed."
"The tool's performance is an area that should be given further consideration."
"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."
"The initial setup was slightly complex. We did face a couple of issues such as the SAML integration not being very smooth. And linking communication with the metadata server was a bit of a challenge. Eventually, we were able to configure it properly."
 

Pricing and Cost Advice

"It is cost effective and an easily accessible tool."
"It's an expensive solution."
"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"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."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
9%
Insurance Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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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 Master Data Management, DataFlux qMDM
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Aegon, Allianz Global Corporate & Specialty, Ausgrid, Bank of Queensland, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, The Travel Corporation, Transitions Optical, Triad Analytic Solutions
Find out what your peers are saying about Palantir, Informatica, Oracle and others in Data Management Platforms (DMP). Updated: July 2025.
864,155 professionals have used our research since 2012.