We performed a comparison between AWS Glue and IBM Cloud Pak for Integration 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."I like the fact that AWS Glue works with Python scripts."
"Our entire use case was very easily handled or solved using this solution."
"The most valuable features currently are glue studio, jobs, and triggers."
"The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."
"We have found it beneficial when moving data from one source to another."
"The solution integrates well with other AWS products or services."
"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"The product has a valuable feature for data catalog."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"It is a stable solution."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"We face performance issues when using AWS Glue for data transformation and integration."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."
"I would like to see stable libraries at the moment they are not there."
"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."
"The interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."
"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 initial setup is not easy."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
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AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews. AWS Glue is rated 7.8, while IBM Cloud Pak for Integration 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 IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and SAP Data Services. See our AWS Glue vs. IBM Cloud Pak for Integration report.
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