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."Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"It is a stable and scalable solution."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"It's fairly straightforward as a product; it's not very complicated."
"The most valuable feature for me is the visual interface of AWS Glue."
"The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users."
"I like its integration and ability to handle all data-related tasks."
"I like the fact that AWS Glue works with Python scripts."
"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."
"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."
"It has standard plug-ins available for different data sources."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"While working on AWS Glue, I could not find any training material for it."
"I would like to see stable libraries at the moment they are not there."
"There should be more connectors for different databases."
"The product has only a few built-in transformations."
"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."
"The mapping area and the use of the data catalog from Glue could be better."
"The solution's visual ETL tool is of no use for actual implementation."
"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."
"FME's price needs improvement for the African market."
"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."
"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."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while FME is ranked 25th in Data Integration with 5 reviews. AWS Glue is rated 7.8, while FME is rated 8.6. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of FME writes "Great for handling large volumes of data, but it is priced a bit high". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Oracle Data Integrator (ODI). See our AWS Glue vs. FME report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
