IBM InfoSphere Information Server vs. WhoisXML Email Verification API

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.

We use WhoisXML Email Verification API for the additional value it provides to our corporate email security, and we recommend that most organizations do the same. Disposable email services may help protect the privacy of their users, but in the corporate setting, receiving emails from these domains may not be safe. So, aside from flagging emails from domains categorized as spam, we wanted our spam filtering system to be stricter and include disposable email addresses.

• 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

• WhoisXML Email Verification API obtains its disposable email detection capabilities from a disposable email domain database that monitors most disposable email providers regularly.
• WhoisXML Email Verification API is compatible with most spam filtering solutions and other email security systems. It is also available as a Splunk application, so compatibility wasn’t an issue for us.

• 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

• We had to avail ourselves of the custom plan because we have a pretty large user base, and each user receives hundreds of emails per day. We were able to come up with a reasonable agreement, in any case.

• Scale of implementation
• IBM techsupport

Incentivized

Prompt and professional support.

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.