We performed a comparison between IBM InfoSphere DataStage and Informatica Enterprise Data Lake based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The Hierarchical Data Stage is good."
"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."
"Finding logs is very easy on the solution."
"We like the flexibility of modeling."
"The product is easy to deploy."
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"The process of using the tool's scalability option is well documented."
"The solution should be more user-friendly."
"The pricing should be lower."
"The response time from support is slow and needs to be improved."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"The solution can be a bit more user-friendly, similar to Informatica."
"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."
"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 setup is extremely difficult."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
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IBM InfoSphere DataStage is ranked 7th in Data Integration with 36 reviews while Informatica Enterprise Data Lake is ranked 39th in Data Integration with 1 review. IBM InfoSphere DataStage is rated 7.8, while Informatica Enterprise Data Lake is rated 7.0. 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 Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry, Oracle Data Integrator (ODI) and Azure Data Factory.
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