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Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Catalog comparison

 

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

erwin Data Catalog
Ranking in Metadata Management
13th
Average Rating
7.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Metadata Management
2nd
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) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of June 2026, in the Metadata Management category, the mindshare of erwin Data Catalog is 3.1%, up from 2.3% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 13.2%, down from 23.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)13.2%
erwin Data Catalog3.1%
Other83.7%
Metadata Management
 

Featured Reviews

Andres-Martinez - PeerSpot reviewer
BI Data Analytics Engineer at Targa Research
Helps with metadata management, saves time, and allows us to do impact analysis on any changes
There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names. There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen. That can also be improved. They need some caching and some parallel pipelines working on the backend in order to divide it into sections.
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.

Quotes from Members

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

Pros

"The data catalog feature is pretty good."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
"Informatica MDM has data quality, mastering the data's capability."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance."
"Over the last decade, Informatica has proved to be the best MDM solution that is available in the market."
"The solution has multiple valuable features for metadata collection"
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important."
 

Cons

"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."
"The customer servive and support could be faster. There is a slow turnaround."
"Asia pacific region address validation needs to be improved."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"Their support should be improved. We have had some trouble with their support from time to time."
 

Pricing and Cost Advice

"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
"Erwin Data Catalog is very expensive."
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"It's a costly solution"
"We got a 50% discount."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"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 is very expensive."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Construction Company
15%
Financial Services Firm
13%
Manufacturing Company
8%
Government
7%
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
 

Company Size

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

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...
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 ...
 

Also Known As

No data available
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
The Travel Company, Carbonite
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. erwin Data Catalog and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.