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 solution is stable and reliable."
"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"It's fairly straightforward as a product; it's not very complicated."
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."
"AWS Glue is a stable and easy-to-use solution."
"It is a stable and scalable solution."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"Our entire use case was very easily handled or solved using this solution."
"Connects to many APIs in the market and new ones are being added all the time."
"The product has only a few built-in transformations."
"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."
"While working on AWS Glue, I could not find any training material for it."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"The solution could be cheaper. The price of the solution is an area that needs improvement."
"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 offer features for streaming data in addition to batching data."
"In terms of improvement, the performance of AWS Glue could be faster."
"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, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Rivery is most compared with Alteryx Designer and Azure Data Factory.
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