We performed a comparison between AWS Glue and Talend Stitch ETL based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"I like its integration and ability to handle all data-related tasks."
"It's fairly straightforward as a product; it's not very complicated."
"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."
"Our entire use case was very easily handled or solved using this solution."
"I appreciate AWS Glue for its cost-effectiveness."
"The most valuable feature of Stitch for us is ease of use. This solution is fire-and-forget. All an organization has to do is set up the connection or integration and move on."
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"While working on AWS Glue, I could not find any training material for it."
"The product is expensive for data streaming. This area needs improvement."
"It fails to handle massive databases acquired from various sources."
"The solution’s stability could be improved."
"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."
"Generally speaking, support is a pain point. In the next release, I would love to see a change in support from the current chat to a more comprehensive portal."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Talend Stitch ETL is ranked 16th in Cloud Data Integration with 1 review. AWS Glue is rated 7.8, while Talend Stitch ETL is rated 9.0. 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 Talend Stitch ETL writes "Fire-and-forget solution with a great infrastructure". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and Talend Open Studio, whereas Talend Stitch ETL is most compared with Talend Open Studio.
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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.