Commanders Act Enterprise Tag Manager vs. IBM Streams (discontinued)

If you need a single place where you can handle all the third party pixels, this is a well-suited platform. As well as if you want to keep the deployment independent from all other (and more complex) deployments driven by IT. If you need a pixel to be fired not just when the page loads, but based on user actions, you should use the events and that's pretty complex to handle.

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Like the name says, it is good for streaming data and analyzing. It is great to look at tuples at a fast rate, filtering, calling other sources to enrich data, can call APIs, etc. Could do better for ingest use cases, can do better with guaranteed delivery, etc.

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• Creating new pixels is very easy, as well as organizing all of them, handling prioritization between different partners' pixels.
• Defining the perimeters and constraints where the pixels need to be fired is a breeze.
• Deploying the container and keeping track of all the modification is very well done.
• The configuration of the deduplication rule is pretty flexible.

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• IBM Streams is well suited for providing wire-speed real-time end-to-end processing with sub-millisecond latency.
• Streams is amazingly computationally efficient. In other words, you can typically do much more processing with a given amount of hardware than other technologies. In a recent linear-road benchmark Streams based application was able to provide greater capability than the Hadoop-based implementation using 10x less hardware. So even when latency isn't critical, using Streams might still make sense for reducing operational cost.
• Streams comes out of the box with a large and comprehensive set of tested and optimized toolkits. Leveraging these toolkits not only reduces the development time and cost but also helps reduce project risk by eliminating the need for custom code which likely has not seen as much time in test or production.
• In addition to the out of the box toolkits, there is an active developer community contributing additional specialized packages.

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• Reports. Tag Commander lacks in term of reports of what's happening. There is an additional module called Attribution Management System that gives you a lot of insights, but more basic reports to understand what has been fired will be useful.
• Support. Tag Commander support is very low responsive. It took several days to have the first feedback and generally, it takes a lot of emails to get what you need.
• Deduplication engine flexibility. The engine is there and it works pretty well, until you have a slightly different need. In that case you need to implement something custom in terms of implementation, reports, etc. A more flexible approach would be useful.

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• Documentation could be more extensive, with more examples, although overall this is not too bad compared to some of the alternative solutions.
• Seems expensive to use in production.

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There are well explained tutorials to get the user started. If you are looking for business application ideas, the user community offers a diversity of applications. It is very easy to launch applications on the cloud and can integrate with other analytic tools available on Watson Studio. It takes away the burden of the technology so that users can focus on business innovations.

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• It let us deploy new pixels/fixes to pixels independently from the IT deployment process.
• It let us easily turn on/off and sort the pixel execution based on partners' priority, assuring better data tracking for more important partners.
• It provides out of the box pixel implementation for tons of partners, but really often we need to rewrite the pixel from scratch as they're not up to date.

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• Ability to do more with less
• Admins and data analyst can now focus on more thinking tasks
• No negative impacts yet

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Invited by TrustRadius (TR) on Vendor's Behalf

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