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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (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)
 

Mindshare comparison

As of February 2026, in the Metadata Management category, the mindshare of erwin Data Catalog is 3.1%, up from 2.0% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 15.2%, down from 24.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)15.2%
erwin Data Catalog3.1%
Other81.7%
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.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"The valuable features include ease of use and quick response time with Informatica Intelligent Cloud Services; the performance and response time are notably faster."
"Informatica Data Quality is a product that is worth the money."
"The solution is applicable for both technical and business users."
"The scalability of the solution is excellent."
"The application integration will give you more flexibility when dealing with APIs."
"The most valuable feature is the building of mockups and tasks."
"Able to customize data search and data sharing."
 

Cons

"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"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."
"The user interface can be a bit more functionality-aligned."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"Informatica Axon needs to improve its interface."
"Their support should be improved. We have had some trouble with their support from time to time. Its scalability should also be improved. I would also like to have a bit more modern and friendly UI for the end-users. There should definitely be a simplified way to configure and set it up."
"We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB."
"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."
"I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."
"They could improve technical support because it is not good enough at the moment."
 

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."
"The product is highly-priced."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"It's a costly solution"
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"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 rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
"We got a 50% discount."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Government
9%
Manufacturing Company
8%
Healthcare Company
7%
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

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: January 2026.
881,733 professionals have used our research since 2012.