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."It works with multiple servers and offers high availability."
"ETL is the most valuable feature."
"Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"Once you have Infosphere up and running properly, it is stable."
"We like the flexibility of modeling."
"We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions."
"Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."
"The Hierarchical Data Stage is good."
"The process of using the tool's scalability option is well documented."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"The interface needs work to be more user-friendly."
"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."
"Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions."
"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."
"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."
"The solution should be more user-friendly."
"It would be useful to provide support for Python, AR, and Java."
"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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