We performed a comparison between AWS Glue and Unifi 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 solution helps organizations gain flexibility in defining the structure of the data."
"I like its integration and ability to handle all data-related tasks."
"I like the fact that AWS Glue works with Python scripts."
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"I appreciate AWS Glue for its cost-effectiveness."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"The most valuable feature for me is the visual interface of AWS Glue."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"It's easy to manage and support the user, our guests, and our customers if they have a problem."
"The controller makes it easy to control everything from one platform. The management is easy."
"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."
"It fails to handle massive databases acquired from various sources."
"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 solution’s stability could be improved."
"In terms of improvement, the performance of AWS Glue could be faster."
"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 monitoring is not that good."
"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."
"There are issues with certain Apple devices."
"It's stable, but it depends on the office and location."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Unifi is ranked 47th in Data Integration with 2 reviews. AWS Glue is rated 7.8, while Unifi is rated 8.0. 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 Unifi writes "Makes integration and monitoring users very easy". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Unifi is most compared with SSIS. See our AWS Glue vs. Unifi report.
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