No more typing reviews! Try our Samantha, our new voice AI agent.

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

Why PeerSpot?
 

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) (6th), Business-to-Business Middleware (1st), API Management (5th), 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) (3rd), 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 (13th)
 

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

"We are able to set rules, establish a data quality management platform, and monitor the quality."
"The data mapping capability is a valuable feature."
"We found that it is the most robust platform to integrate with our e-commerce platform."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"The product is the best in the industry (as it is multidomain) and the vendor support is excellent."
"I know that there are two good features, APN and ServiceNow but we haven't explored all of its features yet."
"The user interface which is very easy to use if we have any problems to solve."
"MDM doesn't require a separate IDQ."
"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

"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
"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 is room for improvement in the Data Marketplace aspect."
"Interoperability is one area where EDC has room for improvement."
"I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required."
"The solution should improve its integration."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
"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."
"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."
 

Pricing and Cost Advice

"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 Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"It is an expensive solution. I would say it is the most expensive solution in the market."
Information not available
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
913,806 professionals have used our research since 2012.
 

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
 

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...
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...
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 ...
Ask a question
Earn 20 points
 

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.
913,806 professionals have used our research since 2012.