FME vs Informatica Intelligent Data Management Cloud (IDMC) comparison

Safe Software and Informatica are both solutions in the Data Integration category. Safe Software is ranked #23 with an average rating of 7.5, while Informatica is ranked #3 with an average rating of 7.8. Safe Software holds a 1.6% mindshare in DI, compared to Informatica’s 3.6% mindshare. Additionally, 100% of Safe Software users are willing to recommend the solution, compared to 93% of Informatica users who would recommend it.

FME

Read 7 FME reviews

2,587 Views
2,018 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

20,563 Views
6,169 Comparison Views

93% willing to recommend

FME

Informatica Intelligent Dat...

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Executive SummaryUpdated on Dec 19, 2024

Informatica Intelligent Data Management Cloud and FME compete in data integration and management. IDMC excels in scalability and comprehensive features, while FME's strength lies in spatial data processing capabilities. IDMC typically captures broader enterprise data tasks, whereas FME has an upper hand in specialized geospatial data tasks.

Features: IDMC includes AI-driven insights, offering robust data governance and scalable architecture suitable for complex data environments. FME shines with strong spatial data transformation tools, supporting a wide range of formats that benefit industries handling geospatial data.

Room for Improvement: IDMC could enhance its spatial data handling and reduce setup complexity for smaller businesses. Improvements in editing and real-time data processing are suggested. FME may need to broaden its data management features and improve integration with non-spatial data resources, along with enhancing user-friendliness outside GIS tasks.

Ease of Deployment and Customer Service: IDMC integrates seamlessly within cloud environments, backed by efficient customer support, resulting in smoother deployment. FME poses slightly higher complexity due to its specialized features, but it offers comprehensive support and resources to address deployment challenges.

Pricing and ROI: IDMC involves higher setup costs, justified by its extensive features and scalability, typically delivering strong ROI through improved data management efficiencies. FME presents a lower initial investment, appealing for projects focusing on spatial data needs with potent ROI benefits in such scenarios.

To learn more, read our detailed FME vs. Informatica Intelligent Data Management Cloud (IDMC) Report (Updated: September 2025).

Buyer's Guide

FME vs. Informatica Intelligent Data Management Cloud (IDMC)

September 2025

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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

23rd

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Informatica Intelligent Dat...

Ranking in Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

185

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), 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) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of FME is 1.6%, down from 1.7% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
FME	1.6%
Other	94.8%

Data Integration

Featured Reviews

Alan Bloor

Geographic Information System Developer at Public Sector

Great for handling large volumes of data, but it is priced a bit high

When I do coding, I think about every single function. Some of these functions can be very elementary, like doing a substring or some capitalization. But FME removes all that coding because it's a transformer, so the time to develop an application to get to a point where you're producing results is decreased massively. It used to take weeks and months to develop software, and now I can use something like FME, and within one day, we get results. We can look at and validate data. 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.

Read full review

SaurabhGaonshindhe

Principle Cloud Engineer at Sector 125

Modular structure and AI features stream new reporting processes

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

Read full review

Quotes from Members

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

Pros

"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."

"From my reseller perspective, the best features in FME are the ease of operation and the fact that it works."

"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."

"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."

"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."

"It has standard plug-ins available for different data sources."

"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."

"We can see all our information on a single screen."

"I give the stability a ten out of ten."

"The most valuable features of Informatica MDM are the IDQ and RDM data management."

"The program is stable and scalable."

"The mass ingestion functionality and the elasticity of the solution are great."

"We are able to set rules, establish a data quality management platform, and monitor the quality."

"Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."

"Improvements could be made to mapping presentations."

"We are looking at the possibility of using Glue instead of FME, using the native AWS product."

"FME's price needs improvement for the African market."

"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."

"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."

"The pricing model is problematic."

"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

"We would like to have accessibility to the repository."

"The data discovery isn't that good yet for Salesforce. We have another tool that we use for this. It may be a problem because Salesforce on the cloud."

"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."

"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."

"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

"The product's price is reasonable."

"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."

"FME Server used to cost £10,000; now it can cost over £100,000."

"We are quite happy with the licensing model."

"It is an expensive solution. I would say it is the most expensive solution in the market."

"The product is very expensive"

"The price of Informatica Cloud Data Integration could be reduced."

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."

"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."

"The price is high, but the competitors are even higher, like Collibra."

"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

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Top Industries

By visitors reading reviews

Government

34%

Energy/Utilities Company

12%

Comms Service Provider

Computer Software Company

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	24
Large Enterprise	134

Questions from the Community

What do you like most about FME?

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.

See all answers

What is your experience regarding pricing and costs for FME?

The pricing is really bad. Last year, they rebranded the whole pricing structure. It used to be moderately priced at about £400 per user per year. Now they've changed the whole thing, and it's expe...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

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 ...

See all answers

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Compared 4% of the time

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Compared 3% of the time

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Product Reports

Buyer's Guide

FME

October 2025

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Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

October 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Also Known As

No data available

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

Overview

FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

Safe Software

Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.

IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.

What are the key features of IDMC?

Data Quality and Integration: Seamless integration ensures data accuracy across platforms.
Metadata Management: Comprehensive metadata management supports data governance.
AI Capabilities: AI features enhance automation and decision-making processes.
Data Marketplace: Facilitates easy access to data across the organization.
Performance Scalability: Scales performance efficiently to meet growing data demands.

What benefits should be expected from IDMC?

Enhanced Data Management: Offers robust tools for data governance and quality.
Improved Integration: Connects disparate systems seamlessly, reducing data silos.
Cost Efficiency: Streamlines data processes, potentially reducing operational costs.
Data Compliance: Supports compliance with data privacy regulations.
Agility and Scalability: Adapts quickly to changing data environments.

IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.

Informatica

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

Buyer's Guide

FME vs. Informatica Intelligent Data Management Cloud (IDMC)

September 2025

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