We performed a comparison between AWS Glue and MuleSoft Composer 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."AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"I like its integration and ability to handle all data-related tasks."
"Our entire use case was very easily handled or solved using this solution."
"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."
"The most valuable feature for me is the visual interface of AWS Glue."
"It's fairly straightforward as a product; it's not very complicated."
"The prebuilt connectors have saved our customers a lot of time and money."
"The product is easy to use. You don't need programming skills to use it."
"The advantage of using MuleSoft as part as the Salesforce ecosystem is that anything new they build is guaranteed to work with the new features that are coming from the other side."
"The way Composer organizes and manages integration processes is most beneficial. We can easily monitor what's running and what isn't and troubleshoot any data integration issues."
"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."
"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"The product is expensive for data streaming. This area needs improvement."
"One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."
"AWS Glue is more costly compared to other tools like Airflow."
"The monitoring is not that good."
"We face performance issues when using AWS Glue for data transformation and integration."
"One additional feature they could add might be something like regional prices. Since we're based in Brazil, we pay in dollars but earn in Brazilian Real."
"The technical support team's response time must be improved."
"MuleSoft Composer needs to improve its interface and scalability."
"This solution could be improved by offering more integrations with other platforms."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while MuleSoft Composer is ranked 13th in Cloud Data Integration with 4 reviews. AWS Glue is rated 7.8, while MuleSoft Composer is rated 8.0. 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 MuleSoft Composer writes "Handles a wide variety of data sources and efficiently organizes and manages integration processes". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas MuleSoft Composer is most compared with Mule Anypoint Platform, Workato, Celigo Integration Platform, Microsoft Azure Logic Apps and Zapier. See our AWS Glue vs. MuleSoft Composer 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.