IBM InfoSphere Information Server vs. WSO2 Enterprise Integrator

You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data

Incentivized

The best-suited scenario is the service chain pattern or all patterns used in online mode. The less appropriate scenario is a batch service the duration time of the service is more than 10minutes because it is necessary to increase the HTTP timeout.

• It is very strong to make transformations/data derivations
• It is very easy to connect to various external data sources. It has an interface (stages) for each connection that simplifies the task
• It is a stable platform. And that parallelism helps make it fast for loading, if the process is well designed

• Service chain pattern
• Message transformation
• Call more than one backend service
• Call service with different protocoll as the client use
• Use file as input
• Use mail as input

• Lack of a strong web development environment.
• Metadata propagation in Jobs is somewhat complex.
• The possibility to develop jobs in Parallel and/or Server Engines is confusing.

• View deploy artifact in date time order
• Easy way to map data
• Easy way to manage payload

• Scale of implementation
• IBM techsupport

Incentivized

I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.

We can start with the community version and then when we moved into production we can buy the supported version. The supported and community version have the same code so we can do every test before deciding to buy the supported version.

• Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
• Better data governance
• Improve data quality and reduce bad data impacts

Incentivized

• Reduce development time to the service integration
• We can use junior developer
• Clustered in easy way