IBM InfoSphere DataStage Review

A good data solution for ETL jobs that improves task performance


What is our primary use case?

We primarily use the solution for ETL jobs and movement of data.

How has it helped my organization?

The solution has improved the time it takes to perform tasks related to batch applications.

What is most valuable?

The parallel job scan has been a very valuable feature.

What needs improvement?

The solution should be more user-friendly.

For how long have I used the solution?

I've been using the solution for 10 years.

What do I think about the stability of the solution?

The solution is quite stable.

What do I think about the scalability of the solution?

I've never investigated the scalability, but I can say that it only scales on the machine. I can have three machines running in parallel. We have about 20 people using the solution, and they are mostly developers and admins. We mainly use the solution for APL jobs.

How are customer service and technical support?

On a scale of one to ten, I would give technical support and eight.

Which solution did I use previously and why did I switch?

We were mostly using ETLs on mainframe jobs.

How was the initial setup?

It's a straightforward process. In terms of deployment from the data stage, it takes about a week.

What about the implementation team?

We use an integrator to assist with implementation.

What other advice do I have?

The advice I would give to others is to make sure they define a framework for development and for management. This could be very useful for the future of the product in the company.

I would rate the entire solution eight out of ten. I really like DataStage. The product fits our requirements perfectly.

We are changing the product now, however, to a cloud-based approach for DataStage.


Disclosure: I am a real user, and this review is based on my own experience and opinions.

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