IBM Cloud Pak for Integration vs. IBM InfoSphere Information Server

We are always working on improving our brand - good customer care and efficient services are the roads to that. By picking IBM's AI automation, we are able to coordinate and connect processes around the company to deliver efficient services on store and online on our website. We've been able to seamlessly automate and digitize most of our operations.

Incentivized

It's super terrific with workflow automation. Terrific with data backup and convenient with encryption of data. Reliable with asset management Great to discover virtual servers

Incentivized

• Test generation gives useful insights into missing tests before launching the bots.
• Open API files helps us understand what is running behind the scenes.

Incentivized

• Any source to any target support.
• ETL flexibility without coding.
• Extreme data volume processing.
• Native integration with other Data integration functionalities such as data profiling, data cleansing, metadata management.

• Natural language processing needs more attention to have more flowing conversations.

Incentivized

• 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

• Scale of implementation
• IBM techsupport

Incentivized

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

• Achieving consistency across operations.
• IBM RPA provides bots to handle the micron tasks which are monotonous and boring.

Incentivized

• If you don't use all of the product family, it will be expensive. But if you want to plan use all the products and you will position it in the center of your infrastructure ROI will be effective.

Incentivized