Docker vs. ThingWorx

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

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It is well suited for situations where you require an end-to-end platform for pushing code and managing data and security of the IoT application. However, it is not well suited for the case when you want to scale the app up to many users and this requires more from the part of the product.

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• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• Asset Monitoring - quick and easy to deploy, can connect to the plant floor and get real-time data from devices.
• Analytics - The TWX Analytics extension has a variety of analyses that can be done into any data source input into TWX.
• Alerts notification - you can program alerts to be sent via email/SMS seamlessly.

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• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

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• Advanced functionality in control and data visualization often requires additional coding from the user.
• Support and tutorials provided are often lacking in detail or are not readily transferable.
• Mashup development works poorly on small monitors or laptops.

We started more than a year ago and do not plan to replace it

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I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

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Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

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Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

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Experienced and knowledgeable customer support executives, Thingworx is a very large product and contains a myriad of features which is not easy to remember without enough training or hands-on experience

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The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.

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Well-suited - multiple streams from many data sources, highly scalable application scenarios.Good for a quick test of internet of things (IoT) connectivity and for deploying access via the web. Smooth deployment, easy to couple to devices. Easy cooperation with Splunk, which we use also.

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It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

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• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.

• Good for quick deployment of customer specific control of IoT
• Good for quick test of IoT platform
• Difficult to debug complicate system

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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