"It is quite useful and powerful."
"The Hierarchical Data Stage is good."
"Once you have Infosphere up and running properly, it is stable."
"The most valuable feature is the data integration for data warehousing."
"It's a robust solution."
"Offers great flexibility."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions."
"The loading of data is the most valuable feature of Matillion ETL."
"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."
"It would be useful to provide support for Python, AR, and Java."
"The setup is extremely difficult."
"The pricing should be lower."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"Currently lacking virtualization ability."
"Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere."
"The interface needs improvement."
"The initial setup could be more straightforward."
"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."
"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."
IBM InfoSphere DataStage is ranked 6th in Data Integration Tools with 8 reviews while Matillion ETL is ranked 7th in Cloud Data Integration with 2 reviews. IBM InfoSphere DataStage is rated 7.6, while Matillion ETL is rated 8.0. The top reviewer of IBM InfoSphere DataStage writes "Robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data". On the other hand, the top reviewer of Matillion ETL writes "A stable and scalable solution that allows you to do a lot of generic stuff and comes with good GUI and support". IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio, Azure Data Factory, Informatica PowerCenter and Mule Anypoint Platform, whereas Matillion ETL is most compared with Informatica PowerCenter, Azure Data Factory, Talend Open Studio, AWS Glue and WhereScape RED.
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