AWS Data Pipeline vs. IBM InfoSphere Information Server vs. LiveRamp Data Collaboration Platform

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.

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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.

For marketers or advertising agencies who are trying to find better ways to activate first party data to improve advertising performance, LiveRamp is the industry leading data onboarding platform. Once data is onboarded, it can be segmented in granular ways to create unique audience segments using boolean logic. LiveRamp is also well suited for identity resolution. LiveRamp will be a key player in the post-cookie world for advertisers and agencies. LiveRamp is an enterprise product for brands and agencies who invest heavily in paid media - if you aren't investing heavily in paid media and aren't investing in ad tech, LiveRamp probably isn't a good fit.

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• Helps you easily create complex data processing workloads
• Fault tolerant
• Highly available

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• 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

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• The interface makes sense and is usable.
• Automated cleansing.
• Can assist in revenue generation for website.
• Great customer support.

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• Pipeline Stuck in Pending Status
• Pipeline Component Stuck in Waiting for Runner Status
• EMR Cluster Fails With Error

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• 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.

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• Better UI
• API connectivity
• More complex ETL processes

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• Scale of implementation
• IBM techsupport

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AWS data pipelines are easy to use over data factory for data engineers

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DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

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.

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• Easy to use
• Data engineers are able to create the data pipelines quickly and effectively
• Scalable and Fault tolerant

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

• Has helped us to be able to monetize website.
• Saves us a lot of time and thus money.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info