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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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (3rd), 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) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
SAS MDM
Average Rating
8.0
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 17.2%, up 14.4% compared to last year.
SAS MDM, on the other hand, focuses on Master Data Management (MDM) Software, holds 1.9% mindshare, up 1.5% 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

"I have rated the stability a ten out of ten due to a high level of satisfaction."
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"The product is scalable and excellent for enterprise-level organizations."
"Informatica is user-friendly, stable, and scalable. These three aspects are the most valuable for us. If we can make it work well with the CRM, we can continue or try again this year to complete that part of the project. I am confident that this kind of solution is what we need because we have a third-party resource that works in the development."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"The product's most valuable feature is the ability to select the data flow and lineage."
"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 tools required to migrate existing mappings and server rules through cloud data quality are not available."
"The tool's performance is an area that should be given further consideration."
"Connectivity could be improved, it can be a little slow."
"They could improve technical support because it is not good enough at the moment."
"The solution should improve its integration."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"Cost-wise, it could be better."
"Informatica Axon needs to improve its interface."
"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 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."
"The price of Informatica Cloud Data Integration could be reduced."
"The price is comparable."
"Informatica Axon is expensive."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
Financial Services Firm
28%
Healthcare Company
15%
Computer Software Company
13%
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 ...
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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 Informatica, Palantir, Oracle and others in Data Management Platforms (DMP). Updated: January 2025.
838,640 professionals have used our research since 2012.