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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
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), 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 (2nd), 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
 

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 dictionary, the search, and the ratings are without a doubt the most beneficial components of this solution."
"I know that there are two good features, APN and ServiceNow but we haven't explored all of its features yet."
"The solution offers good data governance."
"The most valuable features of Informatica MDM are the IDQ and RDM data management."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"Informatica MDM stands out as a tool that can give you the flexibility needed for doing channel-specific data quality or business validation."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"The data quality component is very good."
"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

"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
"The current features are a bit complicated, and we need to write big scripts and test."
"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."
"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"Cost-wise, it could be better."
"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."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"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

"Informatica is very expensive."
"Informatica MDM's price could be lower."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"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 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 MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"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%
Government
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
 

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Overview

 

Sample Customers

The Travel Company, Carbonite
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Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management. Updated: December 2024.
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