dbForge SQL Tools vs. Docker

dbForge SQL Complete is well suited for professionals that have to write code all day. In my role in the business intelligence department we are writing SQL pretty much all day. Having a tool that helps us do that faster, in a cleaner way is pretty awesome and something that pays for itself quickly.

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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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• SQL complete allows you to create custom snippets that allow you to store frequently ran queries in shortcuts. The code can be populated within seconds!
• Another great benefit is custom aliases. If you frequently reference the same tables over and over again it gets tiresome to retype the aliases. Storing these can make your code more consistent and save time.
• SQL complete will also highlight the metadata within your database. For example, if you start typing an insert statement you populate code for all the field names by pressing the tab. This is a real-time saver for wide tables!

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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

• Sometimes it can be slow to retrieve the database metadata.
• Updating the software with the activation/deactivation of licenses could be further streamlined.

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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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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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I am very satisfied after using this tool. It is a full-stack tool that includes rich features that can be customized set of functionality as per your need. by using this tool:-

• Increased our productivity rate.
• Provides speed up your development work so you can focus on other stuff.

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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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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• Spending less time trying to figure out how tables are related thanks to the navigational help in dbForge SQL Complete, which means fixing issues takes less time.

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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.