IBM InfoSphere Information Server vs. SAP Data Quality Management

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.

When reporting, we use accurate data with no duplications since they are addressed by SAP DQM, we get the right target audience by analyzing marketing data, and also helps us to understand the current situation of our firm by comparing metrics.

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

• Eliminate all data duplicates, which affects the space and the inefficiency of the database.
• Further, SAP Data Quality Management has determined address cleaner, very friendly in making systems and data verification a success.
• Simplistic customization strategies, that personalize all the business processes.

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

• Does not support three-dimensional databases
• Does not allow multi-hosting of server
• Does not allow multi data hosting and data mirroring for data safety

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

As with other SAP products, there is excellent support from SAP on this new tool.

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

SAP Data Quality supports the integration with significant sources, but security and accuracy are maintained and enhanced. Besides, SAP Data Quality eliminates the data duplicates, a solution that saves on space, and improves the loading power of any system. More so, SAP Data Quality plays a vital role in data monitoring, which concentrates on authentic processes and efficient system management.

Incentivized

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

• Data connectivity and integration back up any analytical procedures, hence, offering top-notch and standard results.
• The data preparation and security outlines make businesses stand and have real-time decisions.
• Finally, SAP Data Quality has a focused storage platform, that governs and controls even the largest database.

Incentivized