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 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 is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"It is pretty user-friendly, even for people who aren't super technical."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"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."
"It has helped us to get onto the cloud quickly."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"Connects to many APIs in the market and new ones are being added all the time."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"The cost of the solution is high and could be reduced."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"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."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"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, Informatica PowerCenter and SSIS, whereas Rivery is most compared with AWS Glue, Alteryx Designer and Azure Data Factory.
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