Apache Atlas vs. IBM InfoSphere Information Server vs. Rocket Data Intelligence

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.

Well Suited: Automating of data inventory for regulatory complain internal audit group automated extraction Less Appropriate: faster process expected integration with other tools cost.

Incentivized

• 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

• Automate data inventory
• Internal Audit Group
• Help in identifying the right data for business

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

• Latency is sometime in data refresh.
• found difficulty in integration with other tools

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

Quality of service product roadmap and future vision strong consulting partnership

Incentivized

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

• drive revenue growth
• improve compliance and risk management
• improve business process outcome

Incentivized