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

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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...
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Data Governance (3rd), Test Data Management (4th), 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 (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)
SAS Access
Ranking in Data Integration
60th
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.8%, down from 4.1% compared to the previous year. The mindshare of SAS Access is 0.9%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)3.8%
SAS Access0.9%
Other95.3%
Data Integration
 

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.
Robert Heck - PeerSpot reviewer
Co Owner at Hecht und Heck GmbH
The solution is stable, scalable, and flexible
I rate the solution eight out of ten. The number of people required to maintain the solution is dependent on the other applications running. The solution in itself does not require a lot of maintenance. The solution is flexible and I recommend it when you have more complex applications with special requirements.

Quotes from Members

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

Pros

"It is cost effective and an easily accessible tool."
"The use case is embedding the data or the business glossary into the day-to-day workflow, for example, integrating it with Tableau so when people are looking at a Tableau report, they understand exactly what the data lineage is, where this data is coming from, and exactly what those business glossary terms mean so they can more accurately interpret and analyze the report."
"The Informatica MDM tool provided a very robust and cost effective solution to implement a single view of physicians."
"A great product enrichment tool."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"We reduced product data setup time from 1.5 hours to 30 minutes."
"The setup was very straightforward; once the agent is installed, you can then be up and running."
"Seamless integration of MDM, data quality and data integration modules."
"The SAS/ACCESS ability to connect creates an elegant simplicity."
"The most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment."
"The most valuable feature is you have native access to the external databases."
"The most valuable aspect of the solution is the ease of access to the data in those databases."
 

Cons

"The error information provided is not informative, as compared to Power Center."
"We promote our code changes from a lower to a higher environment, which is highly complex when working with a multi-domain MDM like Informatica. This is the biggest obstacle for Informatica MDM, and I think they should change it because that's very time consuming."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"Improving the speed of data showcasing and filtration would be better, and though we can customize these aspects in Informatica Enterprise Data Lake, there's still room for enhancement."
"The ability of the product to leverage the power of big data could be improved."
"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
"There may be some types of limitations with the performance."
"The solution's pricing and licensing are expensive."
"The solution can provide access to the newer databases that come out sooner."
"The pricing model needs to be reconsidered and adjusted."
"I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."
"The primary way that this product can be improved is by adjusting their pricing model."
 

Pricing and Cost Advice

"It is cost effective and an easily accessible tool."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"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."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"Its pricing model can be improved."
"We are quite happy with the licensing model."
"The solution's pricing and licensing are expensive."
"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
Construction Company
18%
Comms Service Provider
18%
Outsourcing Company
11%
Financial Services Firm
10%
 

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

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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...
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Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
SAS/Access
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Access and other solutions. Updated: October 2026.
920,769 professionals have used our research since 2012.