IBM InfoSphere Information Server vs. LiveRamp

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

It is well suited if you are trying to track data and information across multiple platforms.

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

• Data onboarding
• Identity resolution
• Data management
• Audience segmentation
• Third-party data for audience targeting
• Hosting great ad tech and martech industry events

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.

• Privacy information could be included better.

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.

LiveRamp has become the industry leader in data onboarding, identity resolution, and data management. LiveRamp has grown faster than Neustar and the business model is more specialized than Neustar. LiveRamp has chosen to just focus on identity resolution, data onboarding, and data management, whereas Neustar has several business units and is less focused. For these reasons, we prefer using LiveRamp's technology over Neustar.

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

• Much better overall business view from improved analytics
• More actionable insights gained from cross platform analytics
• More holistic view of the user experience

Incentivized