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 most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"The loading of data is the most valuable feature of Matillion ETL."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"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."
"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."
"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."
"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."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"In the next release, we would like to have connections to more databases."
"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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