We performed a comparison between IBM InfoSphere DataStage and Palantir Foundry based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I am impressed with the tool's ETL tracing."
"ETL is the most valuable feature."
"The solution has improved the time it takes to perform tasks related to batch applications."
"Finding logs is very easy on the solution."
"The solution is very easy to use."
"The concept of integration is a valuable feature of the product."
"The most valuable feature is the data integration for data warehousing."
"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 security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"It's scalable."
"The solution offers very good end-to-end capabilities."
"The data lineage is great."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"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."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"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."
"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."
"The interface needs improvement."
"The error messaging needs to be improved."
"It takes a lot of time to actually trigger your job and then go into the logs and other stuff. So all of this is really time-consuming."
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations."
"Difficult to receive data from external sources."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"The frontend capabilities of Palantir Foundry could be improved."
"The workflow could be improved."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"Some error messages can be very cryptic."
"If you want to create new models on specific data sets, computing that is quite costly."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Palantir Foundry is ranked 11th in Data Integration with 13 reviews. IBM InfoSphere DataStage is rated 7.8, while Palantir Foundry is rated 7.6. 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 Foundry writes "The data visualization is fantastic and the security is excellent". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Splunk Enterprise Security. See our IBM InfoSphere DataStage vs. Palantir Foundry report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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