AWS Batch is a managed service offered by Amazon Web Services (AWS) that enables developers to run batch computing workloads on the AWS Cloud. It allows users to define the parameters of their jobs and the resources required to run them, and then automatically provisions and scales the necessary compute resources on demand. This makes it a cost-effective and efficient way to run large-scale batch jobs, such as those required in scientific computing, data processing, and analytics. AWS Batch also integrates with other AWS services like Amazon EC2, Amazon ECS, and Amazon S3, as well as third-party applications, to create a comprehensive batch computing solution.

Amazon Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. With EC2, users can quickly scale up or down their compute resources as needed, pay only for what they use, and easily integrate with other Amazon Web Services. EC2 is a key component of Amazon's Infrastructure as a Service (IaaS) offering.

Amazon Web Services (AWS) is a collection of remote computing services, including storage, databases, and application services, offered by Amazon.com. AWS can be used to host websites, store data, run applications, process big data, and to provide other computing resources to businesses and individuals worldwide. The ability to work with AWS and understand different services offered is considered a specialized skill in the software industry.

Google Cloud Platform (GCP) is a collection of Cloud Computing tools and services provided by Google that allows users to build, deploy, and scale applications, websites, and services on Google's infrastructure. It also provides storage, networking, and data processing solutions for businesses and organizations of all sizes. It includes services such as Compute Engine, App Engine, Kubernetes Engine, and BigQuery for infrastructure, application deployment, and data analysis, among others. GCP can be accessed through a web interface, command-line interface, or API.

Google Compute Engine (GCE) is a cloud computing service that allows users to run virtual machines on Google's infrastructure. GCE provides flexibility in computing power, storage, and networking options, as well as automatic scaling and load balancing capabilities. It also offers a range of preconfigured virtual machine images and the ability to create custom images. GCE is suited for businesses and individuals who need to run large-scale computing workloads, such as data processing or web applications, in a cost-effective manner. Knowledge of GCE requires proficiency in cloud computing, virtualization, and Linux administration.