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FME vs Matillion Data Productivity Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 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
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
7
Ranking in other categories
Data Integration (32nd)
Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (13th), AI Data Analysis (23rd)
 

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.
Jitendra Jena - PeerSpot reviewer
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
Easy integration and workflow proposals streamline processes
The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.

Quotes from Members

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

Pros

"The most valuable feature of FME is the graphical user interface."
"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 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."
"From my reseller perspective, the best features in FME are the ease of operation and the fact that it works."
"FME is spatially aware and understands how to deal with the conversion of spatial objects and their attributes."
"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."
"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."
"The predefined connectors eliminate the need to write code for connectivity; if you have a predefined connector, it is easy to use with plug and play functionality."
"It has helped us to get onto the cloud quickly."
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"It's so intuitive and easy to use you can actually just teach yourself how to use it."
"The product is quite stable and can handle complex data integration tasks well."
"The product's initial setup phase was easy."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"Matillion's technical support is excellent."
 

Cons

"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."
"Improvements could be made to mapping presentations."
"FME's price needs improvement for the African market."
"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."
"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."
"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"It is not an end-to-end platform for ETL. To complete the pipeline, they might want to include some connectors which would put the data into different platforms."
"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."
"More frequent releases are needed, due to API changes from Google, Marketo, and Facebook."
"The cost of the solution is high and could be reduced."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"It could have better integrations with other databases and other services."
"Performance can be improved for efficiency, and it can be made faster."
 

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."
"It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
"I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
"The cost of the solution is high and could be reduced."
"The price of Matillion ETL is reasonable."
"The product must improve its pricing."
"It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
"It was very easy to purchase through the AWS Marketplace, but it was also expensive."
"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
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Top Industries

By visitors reading reviews
Government
25%
Energy/Utilities Company
12%
Construction Company
7%
Comms Service Provider
5%
Construction Company
11%
Financial Services Firm
9%
Computer Software Company
9%
Manufacturing Company
9%
 

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 Business6
Midsize Enterprise10
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 Matillion ETL?
The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.
What needs improvement with Matillion ETL?
The main areas for improvement are AI features and scalability.
What is your primary use case for Matillion ETL?
For the ETL, we are using Matillion Data Productivity Cloud. We have skilled resources for Matillion Data Productivity Cloud, which is why we are using it. The infrastructure is provided by the cus...
 

Also Known As

No data available
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
 

Overview

 

Sample Customers

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: August 2026.
909,948 professionals have used our research since 2012.