We performed a comparison between Matillion ETL and MuleSoft Composer 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 pretty user-friendly, even for people who aren't super technical."
"The loading of data is the most valuable feature of Matillion ETL."
"Matillion ETL is one hundred percent stable."
"It has helped us to get onto the cloud quickly."
"It has good integrations with Amazon Redshift and other AWS services."
"It has improved the costs of managing my customer’s data."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"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 is easy to use. You don't need programming skills to use it."
"The way Composer organizes and manages integration processes is most beneficial. We can easily monitor what's running and what isn't and troubleshoot any data integration issues."
"The advantage of using MuleSoft as part as the Salesforce ecosystem is that anything new they build is guaranteed to work with the new features that are coming from the other side."
"The prebuilt connectors have saved our customers a lot of time and money."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"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."
"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."
"The cost of the solution is high and could be reduced."
"It needs integration with more data sources."
"The technical support team's response time must be improved."
"This solution could be improved by offering more integrations with other platforms."
"One additional feature they could add might be something like regional prices. Since we're based in Brazil, we pay in dollars but earn in Brazilian Real."
"MuleSoft Composer needs to improve its interface and scalability."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while MuleSoft Composer is ranked 13th in Cloud Data Integration with 4 reviews. Matillion ETL is rated 8.6, while MuleSoft Composer is rated 8.0. 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 MuleSoft Composer writes "Handles a wide variety of data sources and efficiently organizes and manages integration processes". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS, whereas MuleSoft Composer is most compared with Mule Anypoint Platform, Workato, Celigo Integration Platform, Microsoft Azure Logic Apps and Zapier. See our Matillion ETL vs. MuleSoft Composer report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
