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 solution has improved the time it takes to perform tasks related to batch applications."
"Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."
"The most valuable feature is the ability to transfer information via notes."
"The most valuable feature is the product's versatility to inject data."
"The solution is very easy to use."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"The process of using the tool's scalability option is well documented."
"In the future, I would like to see more integration with cloud 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."
"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."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"The template mapping could be easier."
"The interface needs improvement. It is really too technical. That is the main problem."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"There could be more customization options for the product."
"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 37 reviews while Informatica Enterprise Data Lake is ranked 41st 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 SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry.
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