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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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
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) (1st), 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 most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"The fuzzy matching capability is a great feature."
"It has become an easy way to exchange information through any cloud application."
"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

"The solution should improve its integration."
"I think they should work really hard on UI."
"Informatica MDM has limitations with connectivity."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."
"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"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 a very expensive solution"
"It is cost effective and an easily accessible tool."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"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."
"Comparatively, their prices are a little bit too high."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"Informatica Axon is expensive."
"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
10%
Insurance Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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, 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: April 2025.
849,686 professionals have used our research since 2012.