We performed a comparison between AWS Glue and BMC Data Management for IMS and DB2 on zOS 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."AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"The product has a valuable feature for data catalog."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"The most valuable feature of AWS Glue is scalability."
"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."
"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."
"The solution is stable and reliable."
"AWS Glue is a stable and easy-to-use solution."
"I have worked with DB2's great features in the last five years. The IDAA feature transformed the vision of warehousing, business analytics, and big data at my bank. Besides the mainframe, I saw that this solution was evolutionary. It gives real-time information."
"BMC Data Management improved our data recovery process by simplifying it."
"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."
"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."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"We face performance issues when using AWS Glue for data transformation and integration."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"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."
"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."
"One area for improvement with this product could be in providing clearer guidance and tools for disaster recovery planning and execution."
"DB2 is a hard tool to grasp. It's hard for users to learn how to use it. It's not easy to see how it works."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while BMC Data Management for IMS and DB2 on zOS is ranked 20th in Database Development and Management with 2 reviews. AWS Glue is rated 7.8, while BMC Data Management for IMS and DB2 on zOS 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 BMC Data Management for IMS and DB2 on zOS writes "Improves disaster recovery processes and offers an efficient CPU cycle optimization ". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and Talend Open Studio, whereas BMC Data Management for IMS and DB2 on zOS is most compared with Dataloader.io, AWS Database Migration Service, IBM App Connect and Qlik Replicate.
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