AWS VS AZURE VS GOOGLE CLOUD.
Cloud service providers are competing for customers due to the high demand for public cloud services. Cloud computing is largely dependent on the three giants in the field, Amazon Web Services and Microsoft Azure. These platforms offer a wide range of products and services in terms of storage over the internet, applications, and database. These are the most popular categories:
Software as a Service (SaaS)
Infrastructure as a Service (IaaS)
Platform as a Service (PaaS)
Among the most popular services offered are compute, storage, database and networking. Management tools, development tools and security are also included. Each cloud service provider has its own unique characteristics. Comparing their strengths and weaknesses will help you understand cloud computing and the market.
Cloud Services Provider:
1. Amazon Web Services (AWS).
Since 2006, Amazon Web Services has been the dominant cloud service provider. With its well-developed program, it is the largest infrastructureasaservice (IaaS), platform. AWS has been a cloud-only network provider for over ten years. Its storage and compute power is unsurpassed by Azure and Google Cloud Platform. AWS has incorporated several security features to make it adaptable and secure for small and large businesses.
AWS offers a cloud solution that is more advanced than traditional on-premise deployments. Although hybrid support has been attempted, AWS generally supports cloud networks.
2. Microsoft Azure
AWS is not Microsoft’s hybrid cloud platform. It supports both on-premise hardware and data transfer to the cloud with equal importance.
It is primarily focused on DevOps, app creation and Internet of things (IoT). Azure supports many programming languages, codes, and automation features for developers. It offers Platform as a Service (PaaS), as well as Infrastructure as a Service. Azure is compatible with Windows systems and easily stems from Microsoft products. Azure does not have an autonomic management system, meaning that it must be manually operated by someone.
3. Google Cloud Platform
Google Cloud Platform supports open-source development in large part and offers storage and security analytics. It is smaller than AWS and Azure in terms of its field. It is however ideal for small businesses. Kubernetes is a GCP open-source development that deploys containers. GCP also offers advanced machine learning solutions. The CSP does not have an in-house backup service, making it difficult to protect client files.
You can also read: AWS Outposts Vs Azure Stack Vs Google Anthos.
AWS vs Azure vs Google Cloud: Compute
Elastic Compute Cloud (EC2), an AWS compute service, allows users to create virtual machines using pre-configured or customized AMI’s. There are many regions and zones that can be launched. The specific VMs, such as their memory capacity, power, number and size, are determined by the user.
Load balancing (ELB), which allows you to distribute load across multiple instances, thereby allowing for effective performance, is available. Auto Scaling, on the other hand, allows for the scaling up and down of service capacity depending on user preference.
Google Compute Engine (GCE) is similar to AWS and allows you to launch a virtual machine in specific regions or availability groups. Additional enhancements include more cores, operating system support and load balancing. The service also offers live migration VMs, persistent disks that are faster, and operating system support. The service was only made available in 2013.
Similar to Amazon’s AMI service, Azure uses Microsoft’s exclusive equivalent, a VHD. The Virtual Hard Disk is flexible in that it can be either predefined or user-defined. An external third party can also define VHD.
Prerequisite information for Azure VMs is the number of cores and the amount of memory.
AWS vs Azure Vs Google: Storage & Databases
The instance determines the amount of storage that AWS has available. It is temporary because the storage is created and destroyed according to the instance’s start and end. The S3 service allows objects to be stored. You can link blocks to an instance, or manage them separately. Glacier provides the archiving service. AWS also supports databases, NoSQL, Big Data, and NoSQL. AWS storage can be scaled to support many users.
For object storage, Google Cloud Platform includes Google Storage. AWS offers temporary storage and block storage in the form drives. GPC natively supports Big Query, Hadoop and Big Table because they are Google cloud technologies. Nearline and Coldline from Google enable you to archive the same way Glacier does but without the delay.
Azure storage service includes blob storage and temporary D drive for VM-based volumes. It also offers file storage, Data Lake store and Queue Storage for large volumes. Database Storage Azure includes SQL database, database database for PostgreSQL and database for MySQL. Microsoft, unlike GCP, has backup service, Site recovery, and Archive Storage.
AWS vs Azure vs Google Cloud : Networking
AWS vs Azure vs Google: Management Tools
Cloud resources must be managed across multiple business units that have enhanced infrastructures. This makes it essential for all three Cloud Services Providers consider the platforms and services that could be used to accomplish this.
All three CSPs provide deployment, visibility, monitoring and configuration of the cloud resource.