Try our new research platform with insights from 80,000+ expert users

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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), 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 (15th)
 

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 16.7%, up 14.1% compared to last year.
SAS MDM, on the other hand, focuses on Master Data Management (MDM) Software, holds 1.9% mindshare, up 1.4% since last year.
Data Management Platforms (DMP)
Master Data Management (MDM) Software
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
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

"It is a very stable solution. I rate its stability a ten out of ten...It is a scalable solution...Informatica Axon's technical support is good."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"The most valuable features of Informatica MDM are the IDQ and RDM data management."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"We can scan anything."
"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."
"The metadata management of Informatica is great."
"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

"There is room for improvement in the Data Marketplace aspect."
"The solution doesn't directly connect to any of the analytical tools."
"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 ability of the product to leverage the power of big data could be improved."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
"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."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"The stability and the integration of the solution have room for improvement."
"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

"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"Informatica Axon is expensive."
"Informatica is very expensive."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"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."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"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."
"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."
Information not available
report
Use our free recommendation engine to learn which Data Management Platforms (DMP) solutions are best for your needs.
844,944 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
Financial Services Firm
28%
Healthcare Company
16%
Computer Software Company
12%
Retailer
8%
 

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...
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, 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 Informatica, Palantir, Oracle and others in Data Management Platforms (DMP). Updated: March 2025.
844,944 professionals have used our research since 2012.