We performed a comparison between AWS Glue and Rivery 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."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."
"The most valuable features currently are glue studio, jobs, and triggers."
"I like the fact that AWS Glue works with Python scripts."
"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 solution helps organizations gain flexibility in defining the structure of the data."
"The solution integrates well with other AWS products or services."
"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'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."
"Connects to many APIs in the market and new ones are being added all the time."
"It fails to handle massive databases acquired from various sources."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"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."
"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."
"AWS Glue is more costly compared to other tools like Airflow."
"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 setup and installation is a bit complex without advanced knowledge or training."
"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."
"Lineage and an impact analysis or logic dependency are lacking."
Earn 20 points
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Rivery is ranked 26th in Cloud Data Integration. AWS Glue is rated 7.8, while Rivery 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 Rivery writes "Great logic and the ability to call outside API if needed. Key feature is management of different sources". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and Talend Open Studio, whereas Rivery is most compared with Alteryx Designer and Azure Data Factory.
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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.