AWS, Azure and GCP Service Comparison for Data Science & AI

Cloud computing eliminates the capital expenditure of building and maintaining data centers, enabling businesses to access and pay for only the resources they use. Its scalable nature allows for quick adjustment to changing business needs. Mirroring data simplifies data recovery and business continuity. By providing access to resources from anywhere, cloud computing also supports remote work and collaboration.

The big three public clouds - Amazon Web Services, Microsoft Azure, and Google Cloud Platform - have hundreds of services, and it can be hard to determine what you need for any given project.

This cheat sheet provides a comparison of the main services needed for data and AI-related work, from data engineering to data analysis and data science, to creating data applications.