IBM Inforsphere datastage review
July 06, 2022

IBM Inforsphere datastage review

niman goli | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM InfoSphere DataStage

IBM InfoSphere DataStage is used for data analysis for business trending and banking aging report for the customers.It would be helpful for finding when the last transaction was done and when the future transaction would be coming for . IBM InfoSphere DataStagecan help with ease of access , easy of gui management and easy navigation for the user to great help
  • banking environment
  • user data management
  • user account management
  • data stage integration with cloud
  • integration with bmc
  • database management with datastage
  • its best on return on investment
  • its comes at low cost
  • its easy of use access
its very good and i would get best support from ibm if their is any issue.i would upgrade it very easily.ibm red books are very good for learning and getting expertise on the product.we would get frequent updates when their is a patch released.it would be easy to integrate with other product or open source

Do you think IBM DataStage delivers good value for the price?

Yes

Are you happy with IBM DataStage's feature set?

Yes

Did IBM DataStage live up to sales and marketing promises?

Yes

Did implementation of IBM DataStage go as expected?

Yes

Would you buy IBM DataStage again?

Yes

BMC Automated Mainframe Intelligence (AMI), Dell EMC AppSync, Hitachi Compute Blade (BladeSymphony)
it is suited for the scenario where the major or more number users and transactions are involved.it would help with data analysis,of how many transactions, and what was the frequency of the transactions,how much amount was paid and how much was the due , and how many count of the refills done.

IBM DataStage Feature Ratings

Connect to traditional data sources
10
Connecto to Big Data and NoSQL
10
Simple transformations
10
Complex transformations
10
Data model creation
10
Metadata management
10
Business rules and workflow
10
Collaboration
10
Testing and debugging
10
Integration with data quality tools
10
Integration with MDM tools
10