IBM InfoSphere Information Server vs. Melissa Data Quality Suite

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.

The platform is best suited for detailed exploration and filtering that allow users to examine the specific records
that pass or fail a criterion and how they might relate to each other. It also assist in seeing past jobs and compare how quality has changed, providing
more context than just point values.

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

• It provides ability to profile, discover, and validate data quality.
• It allows to drill down into larger amounts of data.
• It automatically suggests possible quality rules based on a statistical profile of the data.

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

• It can expand connectivity to apply adaptive data quality rules to any data source.
• It can employing more advanced transformation techniques to transform data for specific formats.
• It can further continue on its existing capabilities like providing more enriched data curation.

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

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