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Informatica Intelligent Data Management Cloud (IDMC) vs Pentaho Data Catalog 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 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) (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), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)
Pentaho Data Catalog
Ranking in Metadata Management
16th
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Metadata Management category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 11.2%, down from 19.4% compared to the previous year. The mindshare of Pentaho Data Catalog is 1.7%, up from 0.8% 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)11.2%
Pentaho Data Catalog1.7%
Other87.1%
Metadata Management
 

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.
Lisa Williams - PeerSpot reviewer
Manager, Office of Enterprise Data Management at State of Arizona
Helps make metadata available from our transactional databases, data warehouse, document management system, and GIS
As I've said, we've tagged a lot of fields that are related to specific processes, like the driller's log or, for example, if you want to get a license to be a well driller. Now, what I'm having to do for the consultants is create an Excel spreadsheet that has the name of the tag and a description of it. I'm now creating a data silo. What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is.

Quotes from Members

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

Pros

"Overall product management, flexibility, intuitiveness and governance."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"This tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"We reduced product data setup time from 1.5 hours to 30 minutes."
"The solution is applicable for both technical and business users."
"The ability to easily and quickly ingest new data sources is the most valuable feature... I'm not an especially technical IT person, but my data governance lead and I are able to ingest the data, quickly profile it, and do data identification and tagging."
"But overall, we spend a lot of time tagging data and working on data quality rules."
 

Cons

"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"I think they should work really hard on UI."
"One thing to consider is that while Informatica Intelligent Cloud Services already integrates with AI platforms, we need to use these tools rigorously and check all these aspects, including machine learning and analytics. I feel that more work needs to be done on this aspect."
"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."
"There's no direct way to connect to Amazon APIs from Informatica Cloud."
"IEDC can improve the comparison of lineages."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"We've tagged a lot of fields that are related to specific processes... What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is."
"As I've said, we've tagged a lot of fields that are related to specific processes, like the driller's log or, for example, if you want to get a license to be a well driller."
 

Pricing and Cost Advice

"The price of Informatica Cloud Data Integration could be reduced."
"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."
"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."
"The solution is very expensive."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"The product is very expensive"
"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."
"We can afford it. We got a three-year contract... If it were to go up and price a lot, I don't know if I would be able to keep it."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
No data available
 

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

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, Address Verification, Persistent Data Masking
Hitachi Lumada DataOps - Data Catalog
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management. Updated: October 2026.
921,028 professionals have used our research since 2012.