No more typing reviews! Try our Samantha, our new voice AI agent.

Informatica Intelligent Data Management Cloud (IDMC) vs ibi DataMigrator comparison

Why PeerSpot?
 

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

ibi DataMigrator
Ranking in Data Integration
36th
Average Rating
9.0
Reviews Sentiment
1.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (1st), API Management (5th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (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 September 2026, in the Data Integration category, the mindshare of ibi DataMigrator is 0.6%, up from 0.5% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.7%, down from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)3.7%
ibi DataMigrator0.6%
Other95.7%
Data Integration
 

Featured Reviews

David_Hall - PeerSpot reviewer
Data Warehouse Analyst at a insurance company with 1,001-5,000 employees
Have seen support quality decline while still relying on long-standing data transformation features
I would assess the tool's error handling and logging features as part of it involves having a sampling thing. Depending on the definition of who's doing this, I used to work at a university where we looked at students who registered, and there were people who could register without specifying their gender. Most people know their gender. Some people would not put their birth date, so their date of birth was the default century. In 1989, we had hundreds of 89-year-olds because it was noted as 1900. What we would do is quickly assess that this is not reasonable; in a college setting, how many 89-year-olds are standing in line for freshman orientation? We could produce transformations on the fly. You can look at stuff, but ultimately, you need to go back to the data. There's logic involved; do you have to have a six-digit zip? Do you need the six plus four? It all depends on your criteria. It's doable, but it takes time, and if there's a lot of that, they usually hire people just to handle it. It's a tool that has its limitations; they haven't added wonderful features, and it's a GUI tool based on a desktop that you can run. Their manuals are pretty good, but we're not really using it actively, so I can't tell you everything right now.
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.

Quotes from Members

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

Pros

"IBI has led the way for many years because they can read and write any data set."
"It's probably one of the leading lights in ETL."
"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."
"MDM doesn't require a separate IDQ."
"Customer service is absolutely brilliant and their on-demand support is really good speaking from a development team perspective."
"It is very useful for testing purposes and designing mappings for small projects."
"The overall quality of the addresses associated with other master data entities (Customer, Supplier, physical locations, etc.) has improved significantly."
"The most valuable features are that MDM has a very strong master merchant, and it's possible to model all kinds of domains in one solution."
"The most valuable feature is its friendly user interface, which makes it easier to create quality shared functionalities or quality rules."
 

Cons

"Their products work wonderfully during demos, but when we install them, they don't, and I end up following their manual only to find they forgot to mention something important."
"The integration could be a bit better. The process is something new."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"One thing Informatica could improve is the way IPUs are used."
"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."
"IEDC can improve the comparison of lineages."
"They need more feature flexibility, as it is not fully developed."
"The product interface could be improved to be more intuitive."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
 

Pricing and Cost Advice

Information not available
"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."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"The price of Informatica Cloud Data Integration could be reduced."
"We pay for a yearly subscription."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"Informatica MDM's price could be lower."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"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."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
913,806 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
19%
Comms Service Provider
13%
Retailer
11%
Outsourcing Company
7%
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

What is your experience regarding pricing and costs for ibi DataMigrator?
I don't have details about the pricing or licensing of ibi DataMigrator. I stay away from money matters; the last time I bought something was 35 years ago while trying to convince people it was wor...
What needs improvement with ibi DataMigrator?
I would assess the tool's error handling and logging features as part of it involves having a sampling thing. Depending on the definition of who's doing this, I used to work at a university where w...
What is your primary use case for ibi DataMigrator?
That's just it with the main use case for us more recently. We have it, we're licensed for it. We can make sure it works, but we don't really use ibi DataMigrator. ibi DataMigrator is an Extract, T...
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

iWay DataMigrator, Information Builders DataMigrator
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Estonia Police Department
The Travel Company, Carbonite
Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
913,806 professionals have used our research since 2012.