We performed a comparison between IBM App Connect 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's stable to use, connect with the cloud, and to deploy."
"Provides good security features."
"It has an efficient design flow."
"The most valuable feature is the security."
"Technical support is good."
"We use IBM App Connect for the integration between the applications."
"I like the adapters. The adapters help us achieve scalability. If you want to connect to SAP, there's an adapter. Salesforce? There's an adapter. You want to connect to another system? There's likely an adapter for that."
"The solution is fast and supports Open UI 3.0 certification."
"It has helped us to get onto the cloud quickly."
"The loading of data is the most valuable feature of Matillion ETL."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"Matillion ETL is one hundred percent stable."
"It's been able to do everything we require."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"It has good integrations with Amazon Redshift and other AWS services."
"It is pretty user-friendly, even for people who aren't super technical."
"When we do a version upgrade of the system, the platform is kind of complicated."
"Plugins for the repositories are difficult to find."
"The setup time for App Connect could be improved."
"Updates are constantly delayed."
"IBM App Connect is scalable. From the administration side, they need to improve the RBAC model, as well as the clustering of this product. It will be good if we can start up the cluster, via IBM Connect Console. Some other products like MuleSoft, are providing this type of administration. MuleSoft is easy to use and user friendly."
"More connectors could be available for the product as some of the third-party software doesn't have default connectors."
"They reply in one or two hours at most, but they could be better."
"IBM needs to enhance and have a stronger offering for the event streaming part because this is the future needed for the containerization and the new integration requirement."
"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."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"The tool's lineage is very weak."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"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."
"The cost of the solution is high and could be reduced."
"Performance can be improved for efficiency, and it can be made faster."
IBM App Connect is ranked 11th in Cloud Data Integration with 21 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. IBM App Connect is rated 8.2, while Matillion ETL is rated 8.6. The top reviewer of IBM App Connect writes "Offers flexible adapters, good scalability but logging can be difficult at times". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". IBM App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, webMethods Integration Server, IBM InfoSphere DataStage and BMC Data Management for IMS and DB2 on zOS, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS. See our IBM App Connect vs. Matillion ETL report.
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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.
