IBM InfoSphere DataStage Reviews

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May 27 2018

What is most valuable?

* Its parallel processing capability allows you to go through extremely large data sets in no time at all, if you do your job right. * Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and... more»

How has it helped my organization?

I have worked during many implementations using DataStage. All of the projects that I worked on have been successful. This is due mainly to the strict discipline around best practices, and by following a set of standards and templates... more»

What needs improvement?

High-cost of ownership: They could take a page from open source software, such as Talend. Working with some of the big data components is good, but I can see improvements are needed, such as native support for Spark and HBase.


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What is IBM InfoSphere DataStage?

IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.
IBM InfoSphere DataStage customers
Dubai Statistics Center, Etisalat Egypt
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