Azure App Service vs. Oracle Big Data Cloud Service

You may easily deploy your apps to Azure App Service if they were written in Visual Studio IDE (typically.NET applications). With a few clicks of the mouse, you may already deploy your application to a remote server using the Visual Studio IDE. As a result of the portal's bulk and complexity, I propose Heroku for less-experienced developers.

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Oracle Big Data SQL Cloud Service is useful for large organizations with more than 5,000 employees where it will help manage the company's human resources information, and also useful for companies who have a big number of items and so one, it's perfect for large organizations. Unfortunately, this makes it an expensive solution for small to medium organizations.

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• Extremely easy to deploy and update from Visual Studio
• It integrates seamlessly with other Azure PaaS resources
• It has an in-depth integration with AppInsights, so you can understand errors and their root cause easily.
• Easy to create and delete, what is not the same case in a IaaS resource
• It escalates based on CPU workload and some other resource variables.
• Configuration changes are almost immediate
• Offers an excellent abstraction from hardware backend of the platform
• That's updated very often, saving time and the risk of a self-performed update over a IaaS
• That's really easy to develop for Web Apps
• It supports Function Apps and Web Apps into the same "cost black box"

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• User friendly
• Offers support and assistance
• Worth the cost
• Time efficient
• Good reliability
• Reliable support

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• Jumps between resource sizes can get expensive
• You may wind up putting a lot of eggs in one basket--not necessarily a con but something to keep in mind (most of your data will likely be managed and processed through Microsoft products/services if you fully commit to Azure App Service).
• Learning new technology. If you're moving from on-premises to Azure App Service (or any cloud solutions), you'll likely have to rethink how things are done to achieve the same end results (and/or resources may become expensive quickly).

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• Needs some modernization to its UI
• Takes some time to analyze big chunks of Data

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I have given this rating because Azure App Service performs very well in terms of speed, reliability, and reducing overhead, and improves overall team productivity, with a little scope for improvement in complex testing scenarios and configurations, scalability concerns in a large setup, and similar tracking and audit needs.

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Microsoft has always been known for providing a high standard in terms of customer support and Azure App Service (and as a matter of fact the whole Azure Platform) is no exception. Azure App Service never caused us any issues and we only contacted their customer support for questions regarding server locations and pricing. I feel pretty satisfied with how they treat their customers.

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When we chose it, we did so because of its integration with Microsoft applications; now we need to integrate with AI, and Azure doesn't offer a good integration. That is the main reason to change it. It is still great to develop Windows- and Microsoft-based applications, but if we need to integrate with AI, Google wins by far.

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Although new, Oracle has been exceptionally good speed wise and the customer service is top notch

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• Deployment of ASP.NET apps at the organization has been sped up.
• An option to offer access to the version control system on a third platform so that we could easily deploy our apps.
• Because of Azure App Service's scalability capabilities, the costs of running the services are kept to a minimum. As a result, we may save hundreds of dollars each month compared to the expenses of traditional servers by using fewer resources during slack periods.

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• It has had a good impact we are able to complete our projects in time
• We can save all our data in a safe and secure location
• Our data analysis is now faster than ever

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