Google Cloud Dataflow vs. Kantar Media

It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.

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For agencies, Kantar Advertising and Paid Search Intelligence can help inform spending in a more intelligent way and optimise performance when it comes to campaigns; however for smaller brand owners the cost and scope may be prohibitive and as such may not be a one size fits all model, unfortunately. Conclusively, to get a foot ahead the competitive with increased market intelligence it can be the ideal choice

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• Streaming, Real time work load
• Batch processing
• Auto scaling
• flexible pricing

• Agility
• User interface
• ROI from improved Paid media Performance

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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

• More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
• I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
• Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.

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Independently Invited by TrustRadius

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• Help and support agents
• Timely updates at times, not on par with others'
• Lack of intuitive recommendations feature / insights manager

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Independently Invited by TrustRadius

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It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.

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Google Cloud Dataproc Cloud Datafusion

It's clear that Kantar Advertising and Paid Search Intelligence is the established player; and from the experience that we've had I would have no hesitation in recommending Kantar Advertising and Paid Search Intelligence, however my experience is a lot more in tune with this than others. Others such as BrandVerity can seem a little overwhelming to a newcomer as well

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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

• cost saving from managing our own data center for ETL servers
• consumption based pricing
• with auto scaling feature, we were able to expand components to support work load

• Increased ROI 10x compared to previous solution in first two years
• Improved market share of partner brand ahead of expectation
• Opened up confidence of branching out into new markets internationally

Incentivized

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