We performed a comparison between JumpMind SymmetricDS and Matillion ETL based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is fully featured. It has allowed me to do everything I wanted to do."
"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."
"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"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 product's initial setup phase was easy."
"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"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."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"The cost of the solution is high and could be reduced."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
JumpMind SymmetricDS is ranked 13th in Data Replication while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. JumpMind SymmetricDS is rated 9.0, while Matillion ETL is rated 8.6. The top reviewer of JumpMind SymmetricDS writes "Excellent change data capture utility for distributed multi site environment". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". JumpMind SymmetricDS is most compared with Oracle GoldenGate, AWS Database Migration Service, Confluent, SSIS and Azure Data Factory, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS. See our JumpMind SymmetricDS vs. Matillion ETL report.
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