We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"It is quite useful and powerful."
"Offers great flexibility."
"Finding logs is very easy on the solution."
"ETL is the most valuable feature."
"Once you have Infosphere up and running properly, it is stable."
"The Hierarchical Data Stage is good."
"The most valuable feature is the data integration for data warehousing."
"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."
"The interface needs improvement."
"The setup is extremely difficult."
"It would be useful to provide support for Python, AR, and Java."
"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 initial setup could be more straightforward."
"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."
"The pricing should be lower."
"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."
"It's very expensive."
"The cost is too high."
"It's quite expensive."
"The price is expensive but there are no licensing fees."
"Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."
"It is quite expensive."
"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."
Matillion ETL for Redshift is a fast, modern, easy-to-use and powerful ETL/ELT tool that makes it simple and productive to load and transform data on Amazon Redshift. 100 x faster than traditional ETL technology, up and running in under 5 minutes and prices from $1.37 per hour, with no commitments or up-front costs.
IBM InfoSphere DataStage is ranked 6th in Data Integration Tools with 11 reviews while Matillion ETL is ranked 7th in Cloud Data Integration with 1 review. IBM InfoSphere DataStage is rated 7.4, 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 AWS Database Migration Service, whereas Matillion ETL is most compared with Informatica PowerCenter, Azure Data Factory, Talend Open Studio, AWS Glue and WhereScape RED.
We monitor all Data Integration Tools 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.