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

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

 

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
35th
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) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), 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) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of ibi DataMigrator is 0.6%, up from 0.2% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.7%, down from 4.6% 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."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"Axon has something called Overlay, which can be used to extend the technical lineage."
"The fuzzy matching capability is a great feature."
"I like the number of options that are presented with Informatica, fuzzy matching, and your screen."
"This product really improves my organization and fits all of the needed requirements for working with cleansed data."
"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."
"Informatica Data Quality is a solid integration tool."
"I know that there are two good features, APN and ServiceNow but we haven't explored all of its features yet."
 

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."
"Informatica MDM's UI is not intuitive enough."
"Error reporting and debugging need improvement."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"The product is not too user-friendly to do the configurations."
"Once the data is masked, we won't be able to reverse it back to its original value."
"I would like to see support for more data sources."
"UI application performance was quite disappointing until v9.0.x, but with 9.5 and later versions, they have facelifted the UI."
 

Pricing and Cost Advice

Information not available
"The solution's pricing model is easy, but it is very expensive."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"We got a 50% discount."
"I have heard from customers that the product comes with a huge license cost."
"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."
"The pricing is high compared to other tools on the market."
"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."
"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."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
900,747 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
16%
Retailer
13%
Comms Service Provider
7%
Transportation Company
7%
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
 

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, Microsoft, Palantir and others in Data Integration. Updated: June 2026.
900,747 professionals have used our research since 2012.