Google Cloud Vision API vs. IBM InfoSphere Information Server

Mostly Google Cloud Vision API is getting used for extracting values out of pdfs which are scanned images. We also tried using it in analyzing different images and their marketing campaign results based on different features it contains like color, objects, positioning, logos etc. Vision API could be used for in conjunction with LLM to provide a more detailed prompt for image generation.

Incentivized

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.

• 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

• 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

It’s pretty easy to get started and the docs are good, plus it supports many features like OCR and image labeling. The accuracy is also generally good and it scale well for bigger use.
But the setup can be a bit confusing, especially with billing and permissions. and also the pricing is also not always very clear, and debugging issues sometimes take more time then expected.
Overall, it’s powerful tool but not the easiest for beginners.

Incentivized

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

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