We performed a comparison between IBM InfoSphere DataStage and Informatica Cloud Data Integration based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 solution is stable."
"The solution has improved the time it takes to perform tasks related to batch applications."
"The most valuable feature is the ability to transfer information via notes."
"Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."
"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 of the solution is the ability to incorporate very complex business rules in Data Stage."
"The solution is straightforward."
"The user interface which is very easy to use if we have any problems to solve."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"The solution's initial setup is quite straightforward."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
"It is one of the best tools available for data integration."
"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."
"There could be more customization options for the product."
"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 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 setup is extremely difficult."
"It would be useful to provide support for Python, AR, and Java."
"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."
"Certain applications are not being synced with the ION."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"It needs to be a little more intuitive but it’s really not bad."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"Cost-wise, it could be better."
"There may be some types of limitations with the performance."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
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IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. IBM InfoSphere DataStage is rated 7.8, while Informatica Cloud Data Integration is rated 7.8. 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 Cloud Data Integration writes "A stable, scalable, and user-friendly solution". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and IBM App Connect, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Qlik Replicate. See our IBM InfoSphere DataStage vs. Informatica Cloud Data Integration report.
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We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
