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Informatica Intelligent Data Management Cloud (IDMC) vs Pentaho Data Catalog 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...
Ranking in Metadata Management
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
183
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Pentaho Data Catalog
Ranking in Metadata Management
11th
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 May 2025, in the Metadata Management category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 25.1%, down from 27.1% compared to the previous year. The mindshare of Pentaho Data Catalog is 0.8%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management
 

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.
Lisa Williams - PeerSpot reviewer
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

"The ability to aggregate and put together data from around fifty sources into one environment allows us to have a preview of everything in a single place, which is something we did not have previously in our company."
"Data synchronization tasks."
"It is a highly scalable solution."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"The way that the solution scans is very useful."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
"The solution's scalability is high."
"The product's most valuable feature is the ability to select the data flow and lineage."
"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."
 

Cons

"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"The pricing model is problematic."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"It could be a bit more intuitive, rather than technically complex."
"I would like to have the solution in one product and technical support needs to be better."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"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."
 

Pricing and Cost Advice

"It's an expensive solution."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"The product has a high price point."
"We have licenses, and we are provided with certain particular services in the solution."
"We got a 50% discount."
"The price is high, but the competitors are even higher, like Collibra."
"The product 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."
"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
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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...
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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
Hitachi Lumada DataOps - Data Catalog
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management. Updated: May 2025.
851,604 professionals have used our research since 2012.