IBM InfoSphere Information Server vs. Oracle Enterprise Data Quality

You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data

Incentivized

• Ease of adding localized and customized data quality formulations (for instance asking for Turkish Citizenship Number from governmental web service and checking whether data is the same with the output).
• Finding the "golden record" from the duplicated records.
• Adding and/or merging missing information from different data sources.
• Using patterns and statistical functions to complete the data.
• Address verification (can be localized).
• Parsing of combination of records.
• Enriching required data from free text (story told) inputs.

Incentivized

• It is very strong to make transformations/data derivations
• It is very easy to connect to various external data sources. It has an interface (stages) for each connection that simplifies the task
• It is a stable platform. And that parallelism helps make it fast for loading, if the process is well designed

• Address verification helps you filter bad data out and improve your data quality.
• Strength by DnB enriched information to address the correct customer by address.
• expert data profiling to help us quickly understand our current data health.

Incentivized

• Lack of a strong web development environment.
• Metadata propagation in Jobs is somewhat complex.
• The possibility to develop jobs in Parallel and/or Server Engines is confusing.

• Updates are few and far between as this has transitioned to the Cloud and is the core engine for DIPC (Data Integration Platform Cloud).
• Needs governance around the tool if multiple people are running reports (e.g. if someone is running a process, it locks out other users).

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.

Oracle Enterprise Data Quality is affordable and I find it more resourceful. Using it is easy too thanks to the improved UI.

Incentivized

• Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
• Better data governance
• Improve data quality and reduce bad data impacts

Incentivized

• Details verification, for instance, address ensure the quality of every operation is sustained.
• Further, sales analytics improves the market share as customers get to apprehend the business needs.
• Oracle Data Quality has consistent data connectivity, a standard way of improvising business requirements.

Incentivized