We performed a comparison between AWS Glue and TIBCO Scribe 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."We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"Our entire use case was very easily handled or solved using this solution."
"The most valuable feature for me is the visual interface of AWS Glue."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"AWS Glue is a stable and easy-to-use solution."
"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."
"It is a stable and scalable solution."
"The most valuable feature of TIBCO Scribe is the connectors available to various products."
"The setup and installation is a bit complex without advanced knowledge or training."
"It fails to handle massive databases acquired from various sources."
"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."
"The product has only a few built-in transformations."
"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."
"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 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."
"The solution should provide better documentation and scenario-based samples."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while TIBCO Scribe is ranked 49th in Data Integration with 1 review. AWS Glue is rated 7.8, while TIBCO Scribe is rated 6.0. 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 TIBCO Scribe writes "A cloud solution that has a lot of connectors, but it should provide better documentation and scenario-based samples". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas TIBCO Scribe is most compared with Azure Data Factory, SSIS, Tray.io and Jitterbit Harmony .
See our list of best Cloud Data Integration vendors.
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.
