Google App Engine vs IBM Cloud Foundry

• Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
• Flexible. We use Java for some services and Node.js for others.
• Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.

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• Keeps things more standardized, ring fenced and thus easier for the end user to use
• Open source, allowing for a wide group for education, auto and support
• Developing at pace to keep up with the ever changing needs of the industry from on / off premise, public and private

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• There is a slight learning curve to getting used to code on Google App Engine.
• Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
• Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)

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• Sometimes the API Connect GUIs don't cleanly disengage after attaching models or updating schema and it is hard to know what has been written successfully and which (if any) models or tables were missed. I shouldn't have to manually check through a list of 377 models to find the ones in and out of a list on either models, folder or database tables. Printing a summary even in logs which did a "diff" sort of thing between 'task-set' and 'task-completed' (referring to attaching models or updating schema as tasks here as 'tasks').
• Provide access to Postgres Database in Sydney datacentre for Australia.
• Clearer documentation around setting up a secure (referring to SSL and certificate setup here) server on eg, chubby1.au-sydney.mybluemix.net.
• Allow a ramp in pricing onto the Blockchains. We will not be able to afford it until quite a few years into production, even if we launch successfully.

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• Effective employee adoption through ease of use.
• Effective integration to other java based frameworks.
• Time to market is very quick. Build, test, deploy and use.
• The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.

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• Bluemix has allowed me to effectively serve the App industry more recently, especially with the new visual design implemented recently.
• BlueMix offers a lot more customization of the Platform, rather than Infrastructure, giving me a big edge over other companies offering only AWS or Azure cloud services, and brings a lot more apparent value to my business.
• The additional features, especially the Watson service subset offers a HUGE range of new and innovative technologies, especially in the realm of AI, that encourages my clients to test out new potential features, which leads to more sales as they increase there platform size and capability.

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