We performed a comparison between IBM Cloud Pak for Integration 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 a stable solution."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"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 has helped us to get onto the cloud quickly."
"It is pretty user-friendly, even for people who aren't super technical."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"The loading of data is the most valuable feature of Matillion ETL."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"The pricing can be improved."
"Its queuing and messaging features need improvement."
"The initial setup is not easy."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"In the next release, we would like to have connections to more databases."
"The cost of the solution is high and could be reduced."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"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."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"The product must enhance its near-real-time data capture feature."
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IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. IBM Cloud Pak for Integration is rated 8.6, while Matillion ETL is rated 8.6. The top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and Microsoft Azure API Management, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS. See our IBM Cloud Pak for Integration vs. Matillion ETL report.
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