Try our new research platform with insights from 80,000+ expert users

FME vs IBM Cloud Pak for Data comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
26th
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
7
Ranking in other categories
No ranking in other categories
IBM Cloud Pak for Data
Ranking in Data Integration
23rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
Data Virtualization (3rd)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of FME is 1.3%, down from 1.7% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
IBM Cloud Pak for Data1.3%
FME1.3%
Other97.4%
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.
reviewer2797596 - PeerSpot reviewer
Operations Manager at a healthcare company with 10,001+ employees
Centralized data analysis has improved collaboration and delivers faster data driven decisions
The best features IBM Cloud Pak for Data offers include low-code or no-code options, which can be used by any technical expertise level. The user interface is very intuitive and easy to customize and navigate for any user, making the learning curve smooth. IBM Cloud Pak for Data is an all-in-one cloud-native data and AI platform that centralizes everything to one single platform, making it easy for viewing our data. It connected with our product for integration with the cloud and helped us enable all of our data users to collaborate from a single unified interface that supports many services designed to work together. I appreciate the low-code no-code feature for its visualization and reporting capabilities, which are very helpful in analyzing insights and making data-driven decisions. IBM Cloud Pak for Data has positively impacted my organization by saving a lot of time by predicting outcomes faster using a platform built with data fabric architecture. It has also enabled us to easily collect, organize, and analyze data, no matter where it is, thereby gaining insights we use to make data-driven decisions easily. It eliminates manual cataloging, which saves time and cost. When comparing it with our previous solution, we have been able to save approximately 70% of our time monthly. We have also been able to make data-driven and concrete decisions more easily compared to our previous solution. Our security has also been strengthened because IBM Cloud Pak for Data provides robust security features that protect our data.

Quotes from Members

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

Pros

"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."
"FME is spatially aware and understands how to deal with the conversion of spatial objects and their attributes."
"It has standard plug-ins available for different data sources."
"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."
"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 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."
"DataStage allows me to connect to different data sources."
"The most valuable features are data virtualization and reporting."
"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."
"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"Cloud Pak is a very, very, very good system."
"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."
"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."
 

Cons

"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"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."
"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."
"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."
"Improvements could be made to mapping presentations."
"The product must improve its performance."
"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."
"Pricing is something that could be reduced, especially for small business enterprises to afford IBM Cloud Pak for Data."
"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."
"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."
"The technical support could be a little better."
"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
 

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."
"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."
"Cloud Pak's cost is a little high."
"The solution is expensive."
"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."
"The solution's pricing is competitive with that of other vendors."
"I think that this product is too expensive for smaller companies."
"It's quite expensive."
"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
880,685 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Government
32%
Energy/Utilities Company
13%
Computer Software Company
6%
Comms Service Provider
6%
Financial Services Firm
27%
Manufacturing Company
10%
Computer Software Company
8%
Government
4%
 

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 Business7
Large Enterprise11
 

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.
What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...
What needs improvement with IBM Cloud Pak for Data?
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
What is your primary use case for IBM Cloud Pak for Data?
The main use case for IBM Cognos is for business intelligence and reporting.
 

Also Known As

No data available
Cloud Pak for Data
 

Overview

 

Sample Customers

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
Qatar Development Bank, GuideWell, Skanderborg Music Festival
Find out what your peers are saying about FME vs. IBM Cloud Pak for Data and other solutions. Updated: December 2025.
880,685 professionals have used our research since 2012.