In S3, storing and retrieving the data plays a prominent role in cloud computing. So, AWS offers a wonderful service called Amazon Simple Storage Service or Amazon S3 to store and retrieve data from the cloud. S3 allows the user to store, upload, retrieve large files up to 5TB from the cloud. It is a scalable, low-cost and high-speed web-based service designed for archival and online backup of application programs and data.

Amazon Elastic Compute Cloud is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources.

AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume.
With Lambda, you can run code for virtually any type of application or backend service. Just upload your code and Lambda takes care of everything required to run and scale your code. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.

Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud Platform. Cloud SQL works with popular relational database types like MySQL, PostgreSQL and Microsoft SQL Server. This service easily also automates the provisioning, storage capacity management, and other time-consuming tasks that you would normally see with on-premise servers.

The Google Kubernetes Engine (GKE) is a secured and managed Kubernetes service with four-way auto scaling and multi-cluster support. Kubernetes clusters come with security in mind by scanning container images and automatically enabling data encryption. With GKE, you can leverage a high-availability control plane including multi-zonal and regional clusters.

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google's state-of-the-art transfer learning and neural architecture search technology. With AutoML, you can create your own custom machine learning models with Vision, Video Intelligence, Natural Language, Translation, and Tables.