We performed a comparison between AWS Glue and SAS Data Integration Server 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."The most valuable feature for me is the visual interface of AWS Glue."
"I appreciate AWS Glue for its cost-effectiveness."
"The most valuable feature of AWS Glue is scalability."
"The product has a valuable feature for data catalog."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"The solution integrates well with other AWS products or services."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."
"The solution is very stable."
"The solution offers very good data manipulation and loading."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"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."
"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 mapping area and the use of the data catalog from Glue could be better."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome 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."
"There should be more connectors for different databases."
"So I would like to see improved integration with other software."
"The initial setup of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. AWS Glue is rated 7.8, while SAS Data Integration Server is rated 7.4. 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 SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Database Migration Service.
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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.