FME vs Matillion Data Productivity Cloud comparison

Safe Software and Matillion are both solutions in the Cloud Data Integration category. Additionally, 100% of Safe Software users are willing to recommend the solution, compared to 92% of Matillion users who would recommend it.

FME

Read 6 FME reviews

2,884 Views
2,250 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Read 27 Matillion Data Productivity Cloud reviews

4,084 Views
1,225 Comparison Views

92% willing to recommend

FME

Matillion Data Productivity...

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Executive SummaryUpdated on Jul 6, 2025

FME and Matillion Data Productivity Cloud are competing data integration solutions. While Matillion Data Productivity Cloud holds an advantage with advanced cloud-native features, FME offers cost-effective solutions with robust spatial data management.

Features: FME offers a friendly user interface, extensive connectors, and powerful capabilities for facial analysis. The product supports geospatial data transformations and automation. Matillion Data Productivity Cloud boasts seamless AWS and Snowflake integration, potent error reporting features, and an intuitive UI, making it ideal for data warehousing and cloud-native operations.

Room for Improvement: FME could enhance its support for non-geospatial data and improve integration with additional cloud services. Better deployment options for smaller businesses would be beneficial. Matillion Data Productivity Cloud would benefit from expanded documentation, broader support for additional cloud services, and reducing the complexity of advanced functions for less technical users.

Ease of Deployment and Customer Service: FME's flexible deployment model supports both on-premises and cloud options, with excellent documentation and support. Matillion's cloud-first approach facilitates swift deployment and leverages integrated cloud environments, complemented by responsive customer service aimed at cloud optimization.

Pricing and ROI: FME's straightforward pricing model and affordable setup cater to organizations with geospatial data needs. Matillion Data Productivity Cloud, despite higher initial costs, justifies these with superior cloud features and enhanced ROI potential, leveraging streamlined cloud operations and scalability.

To learn more, read our detailed FME vs. Matillion Data Productivity Cloud Report (Updated: July 2025).

Buyer's Guide

FME vs. Matillion Data Productivity Cloud

July 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

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (22nd)

Matillion Data Productivity...

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Integration (8th)

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.

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Tomáš Hronek

Data Engineer at Merck

Used for wrangling or transforming data from sources like S3 and Databricks

I use Matillion ETL for wrangling or transforming data from sources like S3 and Databricks The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation. Sometimes, we have issues with the solution's stability and need to restart it for…

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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. 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."

"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 simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."

"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."

"Matillion ETL has great Git integration that is perfect and convenient to use."

"The product's initial setup phase was easy."

"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."

"It has good integrations with Amazon Redshift and other AWS services."

"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."

"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."

More Matillion Data Productivity Cloud pros

Cons

"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."

"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."

"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."

"In the next release, we would like to have connections to more databases."

"The cost of the solution is high and could be reduced."

"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."

"Matillion’s on-premises capabilities don’t allow you to build something customized."

"While the UI is good, it could be improved in its efficiency and made easier to use."

"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."

"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."

"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

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

"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."

"The price of Matillion ETL is reasonable."

"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 prices needs to be lower."

"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."

"The cost of the solution is high and could be reduced."

"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."

"The AWS pricing and licensing are a cost-effective solution for data integration needs."

"The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Government

30%

Energy/Utilities Company

13%

Computer Software Company

Comms Service Provider

Financial Services Firm

20%

Computer Software Company

15%

Manufacturing Company

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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?

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. There must be a technical or comm...

See all answers

What do you like most about Matillion ETL?

The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.

See all answers

What is your experience regarding pricing and costs for Matillion ETL?

While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing c...

See all answers

What needs improvement with Matillion ETL?

There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raise...

See all answers

Comparisons

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Compared 7% of the time

MuleSoft Anypoint Platform vs FME

Compared 6% of the time

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Compared 12% of the time

AWS Glue vs Matillion Data Productivity Cloud

Compared 9% of the time

SSIS vs Matillion Data Productivity Cloud

Compared 7% of the time

Oracle Data Integrator (ODI) vs Matillion Data Productivity Cloud

Compared 6% of the time

SnapLogic vs Matillion Data Productivity Cloud

Compared 6% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

FME

July 2025

Download FME product report

Buyer's Guide

Matillion Data Productivity Cloud

June 2025

Matillion Data Productivity Cloud report

Download Matillion Data Productivity Cloud product report

Also Known As

No data available

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery

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

Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.

Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.

What are the key features of Matillion Data Productivity Cloud?

User-Friendly Interface: Simplifies interaction for non-technical users with a graphical interface.
Seamless Integration: Works smoothly with AWS, SFDC, RDS, Marketo, Facebook, and Google AdWords.
Automatic Scalability: Efficiently manages varying workloads with scale-up and down capabilities.
Efficient Data Handling: Streamlines transformations, scheduling, and sample data verifications.
Diverse Data Source Support: Easily integrates multiple data sources for streamlined processes.

What benefits and ROI should users seek in reviews?

Ease of Use: Reduces complexity for non-technical teams with intuitive operation.
Performance Efficiency: Fast data processing and transformations enhance productivity.
Cloud Compatibility: Supports integration with cloud platforms for versatile data solutions.
Time-Saving Scheduling: Automates data tasks, allowing users to focus on other priorities.
Scalability: Automatically adjusts to workload needs, optimizing resource use and cost.

In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.

Matillion

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

Buyer's Guide

FME vs. Matillion Data Productivity Cloud

July 2025

Free Report: FME vs. Matillion Data Productivity Cloud

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