Comparing AWS, Azure, and Google Cloud Platform for Enterprises
Posted By : Dipshikha Bharali | 05-Jun-2020
Cloud adoption has become increasingly popular amongst enterprises as it provides them a number of benefits including security, agility, accessibility, and cost-savings. As of today, the cloud computing landscape is dominated by tech giants like Google, Amazon, and Microsoft. A majority of enterprise-grade cloud applications are currently running on AWS, Azure, or Google Cloud Platform (GCP).
To choose the right cloud solution for your enterprise, it is essential to consider factors like company size, budget, business goals, and expected growth rate. In this blog post, we’ll delve into a detailed comparison between the aforementioned cloud platforms. Subsequently, you can examine the best-suited cloud solution for your business. We’ll compare these cloud platforms based on the following parameters:
- Services Offered
Amazon Web Services
Amazon Web Services (AWS) is the oldest and the most extensively used cloud service, offered by the e-commerce giant, Amazon. It provides an on-demand cloud computing platform to individuals, companies, and governments on a pay-as-you-go basis.
AWS is, by far, the world’s most comprehensive and widely adopted public cloud platform. It features analytics, AR/VR, application integration, blockchain, customer engagement, developer tools, machine learning, virtual machine launch, IoT, mobile, robotics service, and so on. In a nutshell, AWS development services render support for almost every functionality that developers may require for their varied project needs.
Azure was launched in 2010 with an aim to provide a competent cloud computing platform for businesses. The platform provides the opportunity to deploy and manage virtual machines at a scale. It enables processing and computing within minutes and at whatever capacity required. Both AWS and Azure handle software that runs large-scale parallel batch computing, thus providing enterprises an edge over Google Cloud Platform.
Google Cloud Platform
Google Cloud Platform (GCP) is a suite of cloud computing services that run on the same infrastructure that Google uses for its end-user products such as Google Search Engine, YouTube, and more.
GCP began its journey in 2011 and has already managed to create a good presence in the cloud industry. Their initial aim was to strengthen their own products but they later made it available to enterprises. As a result, cross-industry enterprises can now use Google cloud infrastructure to run their applications.
Also read Building and Deploying ML Models On The Google Cloud
Services Offered By AWS
AWS cloud computing services include Amazon Elastic Compute Cloud (EC2) service that enables cost optimization and promotes compatibility and flexibility. It also provides scalability and facilitates rapid deployment with minimal complexities. The Elastic Container Service (ECS) of AWS is a scalable container orchestration tool that supports Docker containers through a series of API calls. They also offer other services including Elastic Beanstalk for app deployment, AWS Lambda, Amazon Lightsail, AWS Fargate, and AWS Batch.
Amazon Relational Database Service(RDS) enables developers to easily set up, operate, and scale a relational database in the cloud. It also provides integration support for Amazon DynamoDB to deliver consistent, single-digit millisecond performance at any scale. In addition, you get other services like Amazon DocumentDB (with MongoDB compatibility), Amazon Aurora, and Amazon ElastiCache.
AWS provides a secondary archival storage option, Storage Gateway, in addition to Glacier, its primary backup feature. It also offers Simple Storage (S3), Elastic Block Storage (EBS), Elastic File System (EFS).
Azure compute services revolve around Virtual Machines for computing solutions including development, testing, datacenter extensions, and app deployment. Azure Kubernetes Service (AKS), a serverless container system, allows faster deployment and management of containerized applications. Other computing services of Azure include Platform-as-a-service (PaaS), Function-as-a-service (FaaS), Service Fabric, and Azure Batch.
Azure offers an SQL database which is a fully managed PaaS database engine. It lets you handle most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement.
Azure provides a Blob storage service, which is highly scalable and cost-effective. It also provides Disk storage, File storage, Archive storage, and Data Lake storage.
Google Cloud Platform
GCP provides a container-based computing service using Google Kubernetes Engine. They have also introduced other services like Google App Engine that manages app hosting, scaling, and monitoring tasks on behalf of its customers; Docker Container Registry, Instant groups, and Graphics Processing Unit (GPU).
GCP offers Cloud SQL which is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases and it can be used with MySQL, PostgreSQL, or SQL Server.
GCP provides a Cloud Storage facility that ensures a large capacity of data storage. In addition, they offer services like Persistent Disk which can be used as primary storage for instances, Filestore service, and Transfer service.
You may also be interested in reading Scaling Up Cloud App Performance Using Amazon DynamoDB
Amazon Web Services
AWS usually renders its services on a pay-as-you-go basis. They also provide free tier facilities to their customers who can explore and avail their services cost-free up to a specified limit. Beyond that, they charge their customers by the second and not by the hour.
Azure generally charges its customers by the minute with no minimum limit. Similar to AWS, they offer certain free tier facilities as well. In addition, they offer discounts and credits to both newcomers and existing customers.
Google Cloud Platform
GCP is comparatively cheaper than AWS and Azure. Besides, they give special discounts to their existing customers. Like Azure, GCP charges its customers by the minute but with a minimum 10-minutes quota.
Selecting the right platform for cloud app development ultimately comes down to the technical and business requirements of an enterprise or project. In certain cases, organizations use multiple cloud platforms within different parts of their operations or for different use cases. This is called a multi-cloud approach. In short, it is all about choosing the best-suited cloud platform for your enterprise, based on your mission-critical business requirements and future goals.
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