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

FME vs Informatica Intelligent Data Management Cloud (IDMC) 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

FME
Ranking in Data Integration
30th
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), 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 (1st), AI Data Analysis (1st)
 

Mindshare comparison

As of April 2026, in the Data Integration category, the mindshare of FME is 1.1%, down from 1.8% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.5%, down from 4.9% 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)3.5%
FME1.1%
Other95.4%
Data Integration
 

Featured Reviews

Gert Booysen - PeerSpot reviewer
Software Solutions Leader at GE Vernova
Extensive format support and reliable integration enhance data management while new pricing model requires reassessment
I haven't had any input or requirements from any customers that are not currently covered, so I don't have any additional needs that were identified or raised to me. Regarding pricing, with the model changes that they've implemented a while back, it actually made it more expensive to use, especially on the server side. They changed the licensing model, and that made customers think it is overpriced. Some customers were actually looking at alternatives. Pricing with the model changes was perceived negatively. I work primarily with enterprise customers, Vodacom, Eskom, so it's tier-one customers. For small customers, this solution is a bit too expensive. They don't really use it and just do direct integration on smaller implementations. This is basically used by tier-one customers. FME is still able to save time and money for clients. It's still a good investment. Regarding similar products to FME, GE developed a product called Data Fabric. That is a real-time operational integration platform, Data Fabric Network Connect, which is a GE Grid OS product. It is actually more expensive than FME, but the purpose is different as it's operational. The vendor in this case is GE, and it's a company that we bought that used to be called Greenbird. In current use scenarios, FME is still leading compared to Data Fabric. The GE product has a different application.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Quotes from Members

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

Pros

"FME is spatially aware and understands how to deal with the conversion of spatial objects and their attributes."
"We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."
"From my reseller perspective, the best features in FME are the ease of operation and the fact that it works."
"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."
"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."
"FME's features that I have found most valuable are that it has a very friendly user interface, you don't need to use a lot of code, it has a lot of connectors and few forms, and it has a strong facial aspect that can do a lot of facial analysis."
"It has standard plug-ins available for different data sources."
"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."
"The solution's scalability is high."
"It has improved the customer data management where we had the incorrect addresses and data cleansing, also in finding the duplicates so as to ensure the customer data is not duplicated."
"Initial setup was fairly easy."
"Able to customize data search and data sharing."
"Now that we run all the addresses through AddressDoctor, we know what is a deliverable address and what is not, and we see the suggestion list for the addresses which are not deliverable."
"Informatica MDM is one of the best in the market in the master data management area."
"I like the number of options that are presented with Informatica, fuzzy matching, and your screen."
"​The tool manually checks on applying business rules and helps to implement them."
 

Cons

"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point."
"Improvements could be made to mapping presentations."
"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house."
"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"FME's price needs improvement for the African market."
"FME is a great tool, but I don't know if we can scale it up since the prices are high and we would need to convince the decision makers to provide more budget."
"We are looking at the possibility of using Glue instead of FME, using the native AWS product."
"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"Their data quality reporting, especially their dashboards and scorecards, is lackluster at best."
"The main issue probably has nothing to do with end users, but installation can definitely be simplified."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries."
"The advertising makes promises about data analytics that it does not keep."
"The solution doesn't directly connect to any of the analytical tools."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"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."
 

Pricing and Cost Advice

"We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."
"The product's price is reasonable."
"FME Server used to cost £10,000; now it can cost over £100,000."
"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 pricing is high compared to other tools on the market."
"The licensing price of the product depends on the organization's requirements."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"The licenses attached to the solution are highly priced."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"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."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
886,349 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Government
30%
Energy/Utilities Company
13%
Construction Company
7%
Comms Service Provider
6%
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

What needs improvement with FME?
I haven't had any input or requirements from any customers that are not currently covered, so I don't have any additional needs that were identified or raised to me. Regarding pricing, with the mod...
What is your primary use case for FME?
The use cases for FME are mainly integration to the GE Smallworld product. GE Smallworld is a GE product, and we are using it to integrate with other third-party products into GE Smallworld and ADM...
What advice do you have for others considering FME?
The overall rating for FME is eight out of ten, and I prefer the feedback to be anonymous. My job title is Senior Solutions Architect.
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

No data available
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
The Travel Company, Carbonite
Find out what your peers are saying about FME vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: April 2026.
886,349 professionals have used our research since 2012.