IBM Open Data Analytics for z/OS

4.0
(3)

Optimize the runtime of open source technologies, including Apache Spark, Anaconda and Python, and gain insights from data at its source.

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IBM Open Data Analytics for z/OS review by Consultant
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Business partner of the vendor or vendor's competitor, not included in G2 scores.

"Analytics on Mainframe for a very reasonable price."

What do you like best?

Modernized development platform for mainframe, Simplicity of integration with traditional mainframe workloads.

What do you dislike?

clarity in computing cost is not very clear. It might vary drastically from workload to workload.

Recommendations to others considering the product:

If you trying to create a data lake outside of mainframe with mainframe data, then this product is the way to go. YOu would not need to move your data outside of mainframe.

What problems are you solving with the product? What benefits have you realized?

real time analytics on mainframe, Batch modernization on mainframe.

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IBM Open Data Analytics for z/OS review by Jhoneis M.
Jhoneis M.
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content
Business partner of the vendor or vendor's competitor, not included in G2 scores.

"IBM Open Data"

What do you like best?

excellent for analyzing data and managing the resources of a corporation, it is also easy to integrate with open source technologies

What do you dislike?

the first investment is high, the costs are high, the ROI is slow but in the long run it reduces costs globally in the company

Recommendations to others considering the product:

use it

What problems are you solving with the product? What benefits have you realized?

take advantage of human and material resources in the industry and integrate services and platforms in a centralized manner

What Server Virtualization solution do you use?

Thanks for letting us know!
IBM Open Data Analytics for z/OS review by Consultant
Consultant
Validated Reviewer
Review Source
content

"Nice Analytics Product for mainframe"

What do you like best?

Great development platform for mainframe, Good integration and works well.

What do you dislike?

Can use improvement in workload computing cost as workloads can vary greatly.

Recommendations to others considering the product:

Try it out if you are implementing data analytics from a mainframe environment but watch the costs.

What problems are you solving with the product? What benefits have you realized?

Good for analytics data pools inside mainframe environment .

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