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."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."
"The most valuable features currently are glue studio, jobs, and triggers."
"It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."
"The most valuable feature of AWS Glue is scalability."
"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"Our entire use case was very easily handled or solved using this solution."
"It is a stable and scalable solution."
"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."
"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 product is easy to use. You don't need programming skills to use it."
"The prebuilt connectors have saved our customers a lot of time and money."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"There should be more connectors for different databases."
"In terms of improvement, the performance of AWS Glue could be faster."
"The solution should offer features for streaming data in addition to batching data."
"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."
"The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data."
"The product is expensive for data streaming. This area needs improvement."
"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."
"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 3 reviews. AWS Glue is rated 7.8, while MuleSoft Composer is rated 7.6. 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 MuleSoft Composer writes "The prebuilt connectors save a lot of time and money, but the customer support and price must be improved". 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.
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