We performed a comparison between Matillion ETL 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 loading of data is the most valuable feature of Matillion ETL."
"It has good integrations with Amazon Redshift and other AWS services."
"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"Connects to many APIs in the market and new ones are being added all the time."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"It needs integration with more data sources."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"The tool's lineage is very weak."
"The cost of the solution is high and could be reduced."
"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."
"Lineage and an impact analysis or logic dependency are lacking."
Earn 20 points
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Rivery is ranked 26th in Cloud Data Integration. Matillion ETL is rated 8.6, while Rivery is rated 9.0. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". 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". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, SSIS and Informatica PowerCenter, whereas Rivery is most compared with Alteryx Designer, AWS Glue and Azure Data Factory.
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