AWS Glue vs FME comparison

Amazon Web Services (AWS) and Safe Software are both solutions in the Cloud Data Integration category. Additionally, 89% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Safe Software users who would recommend it.

AWS Glue

Read 48 AWS Glue reviews

7,339 Views
5,504 Comparison Views

89% willing to recommend

FME

Read 5 FME reviews

2,503 Views
1,829 Comparison Views

100% willing to recommend

AWS Glue

FME

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Glue and FME based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Glue vs. FME Report (Updated: March 2025).

Buyer's Guide

AWS Glue vs. FME

March 2025

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Helped 845,406 peers since 2012

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

AWS Glue

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

FME

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (26th)

Featured Reviews

Muthuvel Sivaraman

AVP at a manufacturing company with 10,001+ employees

Handles a huge volume of data and is serverless, but it can be considered costly by some users

We use Amazon's services to provide technical support for the product. If you want to have support, Oracle and others offer a single support, and other tools have a direct support window. For Amazon, we need to pay 10 percent of my billing amount for the tool to get support services. Whether to raise a support ticket or not is an issue since ten percent is a huge amount. My company ends up using all the options without help from support. It is very difficult for any common man to understand why there is a need to pay ten percent for support. If I find an issue in the product, and I need to get support from AWS to fix it, then I need to pay ten percent of the tool's bill amount to Amazon. AWS is a very tricky tool because everything is evolving nowadays. AWS engineers are getting hired from other places, and even after that, if I am not getting any technical support, then things will be very nasty. There are some good engineers who help users outside the normal support cycle, but it doesn't meet their needs. I rate the technical support a four out of ten.

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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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Quotes from Members

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

Pros

"One aspect that I would like to highlight is the Glue Crawler, which we utilize when working with large datasets to ensure the schema updates seamlessly without requiring end-team knowledge."

"The most valuable feature of AWS Glue is scalability."

"We have found it beneficial when moving data from one source to another."

"What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."

"One of the best features of the solution is its ability to easily integrate with other AWS services."

"If I'm working with big data, common languages like Python work quite nicely, which is advantageous."

"Its ease of use, cost-effectiveness, and highly secure architecture are some of the most valuable features."

"It's very good to manage."

More AWS Glue pros

"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."

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

"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."

"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."

Cons

"AWS Glue would be improved by making it easier to switch from single to multi-cloud."

"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."

"The setup and installation is a bit complex without advanced knowledge or training."

"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."

"It is not clear how the partition discovery would have been affected by more data coming in."

"Only people who can code, either in Java or Python, can use the product freely. Those who don't know Java or Python might find using AWS Glue difficult."

"Beginners need additional support as it currently lacks some features required for complex transformations, often necessitating custom Python coding."

"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."

More AWS Glue 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."

"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."

"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."

Pricing and Cost Advice

"AWS Glue is a paid service that doesn't come under the free trial of AWS."

"I rate the tool's pricing a four out of ten."

"AWS Glue is quite costly, especially for small organizations."

"I rate pricing an eight out of ten."

"If you are using the solution for an enterprise business, it will be expensive."

"The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

"It is an expensive product. I rate its pricing a nine out of ten."

More AWS Glue pricing and cost advice

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

"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."

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845,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

13%

Manufacturing Company

Government

30%

Energy/Utilities Company

13%

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

See all answers

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

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 37% of the time

SSIS vs AWS Glue

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 5% of the time

SnapLogic vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Azure Data Factory vs FME

Compared 23% of the time

Talend Open Studio vs FME

Compared 14% of the time

Alteryx Designer vs FME

Compared 10% of the time

SSIS vs FME

Compared 7% of the time

Pentaho Data Integration and Analytics vs FME

Compared 4% of the time

More FME Competitors

Product Reports

Buyer's Guide

AWS Glue

March 2025

Download AWS Glue product report

Buyer's Guide

FME

March 2025

Download FME product report

Overview

AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

AWS Glue Features

AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

Reviews from Real Users

Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

Amazon Web Services (AWS)

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

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System

Buyer's Guide

AWS Glue vs. FME

March 2025

Free Report: AWS Glue vs. FME

Find out what your peers are saying about AWS Glue vs. FME and other solutions. Updated: March 2025.

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