We performed a comparison between IBM InfoSphere DataStage and Palantir Gotham based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."ETL is the most valuable feature."
"The product is easy to deploy."
"In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table."
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"The solution is very easy to use."
"The most valuable feature is the data integration for data warehousing."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"This solution is seamless. From one platform, we can do just about anything."
"I want the tool to continue with the on-prem version, not the cloud one."
"The initial setup could be more straightforward."
"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 solution can be a bit more user-friendly, similar to Informatica."
"Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data."
"Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."
"What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well."
"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
Earn 20 points
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Palantir Gotham is ranked 33rd in Data Integration with 1 review. IBM InfoSphere DataStage is rated 7.8, while Palantir Gotham is rated 8.0. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Palantir Gotham is most compared with Palantir Foundry, Stone Bond Enterprise Enabler, Azure Data Factory and SAS Data Management.
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