We performed a comparison between AWS Glue and ETL Solutions Transformation Manager 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 product has a valuable feature for data catalog."
"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."
"AWS Glue's best features are scalability and cloud-based features."
"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."
"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."
"We have found it beneficial when moving data from one source to another."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"I appreciate AWS Glue for its cost-effectiveness."
"It is among the best, even if not widely known."
"It is a reliable solution."
"Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate real-time insights. Transformation Manager feeds your data science projects. We generate models and then give them to the clients, so they can come up with real-time predictions and recommendations in addition to reporting."
"There is a learning curve to this tool."
"It fails to handle massive databases acquired from various sources."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"The setup and installation is a bit complex without advanced knowledge or training."
"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 monitoring is not that good."
"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."
"They should build a functional architecture based on queuing."
"Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing."
"There is room for improvement in the solution's visualization tool."
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AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while ETL Solutions Transformation Manager is ranked 32nd in Data Integration with 3 reviews. AWS Glue is rated 7.8, while ETL Solutions Transformation Manager 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 ETL Solutions Transformation Manager writes "It lets us create models so we can generate real-time predictions and insights for a our clients". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas ETL Solutions Transformation Manager is most compared with webMethods Integration Server, Axway AMPLIFY Application Integration, TIBCO Spotfire, Denodo and Altair Monarch. See our AWS Glue vs. ETL Solutions Transformation Manager report.
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