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

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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
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (1st), API Management (9th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
SAS MDM
Average Rating
8.0
Reviews Sentiment
8.2
Number of Reviews
1
Ranking in other categories
Master Data Management (MDM) Software (14th)
 

Featured Reviews

RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.
reviewer1320117 - PeerSpot reviewer
SAS Practice Lead at a tech services company with 10,001+ employees
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 solution has improved our organization by providing data quality."
"It is quite useful and flexible compared to other vendors in terms of cost of implementation and use case."
"The product seems stable enough."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"Scalability is on par or better than any other solution on the market, with one of our customers having over 21 million SKUs in PIM and others having hundreds of international users."
"It's probably one of the leading lights in ETL."
"It has been leading the market with hierarchy management and all the different match concepts and algorithms, and they're very robust."
"Informatica Data Quality is a product that is worth the money."
"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

"Once the data is masked, we won't be able to reverse it back to its original value."
"I need to have some insight into the tool's cloud capabilities."
"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."
"The customer servive and support could be faster. There is a slow turnaround."
"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."
"We cannot sell the product directly with an additional layer."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"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."
"Only having SAS and MDM is not the right choice of tools because the likes of Informatica and Talend have better capabilities as far as I've seen."
"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

"The price is neither too high nor too low."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"I have heard from customers that the product comes with a huge license cost."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
No data available
 

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Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
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 Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: September 2026.
917,433 professionals have used our research since 2012.