We performed a comparison between AWS Glue and Tungsten RPA 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."Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"AWS Glue is a stable and easy-to-use solution."
"I appreciate AWS Glue for its cost-effectiveness."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"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."
"What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."
"Kofax handles UIs via the browser well. If it's not possible, they have other features like modeling screen scrapes, etc."
"It is stable and scalable."
"The features that we have found the most valuable are the integration of different third-party support and productivity services."
"The flexibility to use already-developed components is really good. You can use it for Excel-related operations and other things."
"You can automate browsing tasks without needing a server connection. The platform provides its browser, allowing you to run anything inside it."
"Kofax RPA's best feature is its high success percentage in picking up information from documents, especially where the DPI is really low."
"The solution is scalable."
"The OCR was quite stable and flexible."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"There should be more connectors for different databases."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"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 that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."
"In terms of improvement, the performance of AWS Glue could be faster."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"The solution should offer features for streaming data in addition to batching data."
"It needs a free training portal for anybody on the internet to use so that they can get an idea of what the possibilities are."
"This product has room for improvement in support of aviation. The interface could be improved in the next release."
"I'd like to see a recording function and a more simple interface."
"The scalability has room for improvement."
"The solution needs to be scalable."
"Kofax RPA needs to improve integration with SAP and Microsoft. The professional services offered by the tool's team is below par. Its licensing needs to be more modular."
"The product has some constraints and performance issues."
"The product should improve desktop automation, which is hard to configure. It needs to have custom connectors. It is the only advantage that Microsoft Power Platform has over Kofax RPA. It has more than 800 custom connectors."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Tungsten RPA is ranked 12th in Robotic Process Automation (RPA) with 24 reviews. AWS Glue is rated 7.8, while Tungsten RPA 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 Tungsten RPA writes "A stable product that provides end-to-end solutions for different business problems". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Tungsten RPA is most compared with UiPath, Microsoft Power Automate, Blue Prism, Automation Anywhere (AA) and SAS Data Management. See our AWS Glue vs. Tungsten RPA report.
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