IBM InfoSphere Information Server vs. MatchX

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

Its suitable for enterprises and business looking for a Data Matching tool.

• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

Incentivized

Independently Invited by TrustRadius

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• User-Friendly and Data Management
• No technical expertise, making it accessible for a broader user base.
• Great for Data Mining and Data Matching

• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• The interface could offer even more customization.
• Some users may prefer more frequent feature updates or design refreshes.
• Advanced users might want expanded export or reporting options.

• Scale of implementation
• IBM techsupport

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

We've never felt the need to migrate to something else.

DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.

• MatchX has enabled a low-maintenance revenue from data mining and token staking.