Infrastructure-as-a-service (IaaS) is a business model in which a third-party provider hosts and maintains a customer's basic infrastructure, such as hardware, software, servers, and storage. This usually entails hosting apps in a highly scalable environment, with consumers just paying for the infrastructure they utilise. In order to innovate, decrease expenses, and boost agility, applications are being migrated out of on-premise data centres. The IaaS industry is expected to be valued $64.3 billion in 2021, up from $50.4 billion in 2020, according to Gartner.
Since its start, cloud computing has come a long way. It's no longer an issue of whether or not to use cloud computing; rather, it's a matter of which cloud platform to use. With so many cloud providers flooding the market, the public cloud scene is dominated by Amazon, Microsoft, and Google, which provide the most secure, adaptable, and reliable cloud services. AWS, Azure, and GCP each provide clients a variety of storage, compute, and networking choices through their own cloud platforms. So, how do you choose between these? This blog is where you'll find the answers to all of your queries regarding which one to choose.
Before getting into the comparison part, let’s first discuss these three platforms in brief.
Amazon Web Services (AWS)
AWS (Amazon Web Services) is a powerful cloud computing platform for businesses. Regions, availability zones (AZs), and edge locations are used to organise its services. AZs are data centres within regions that encompass a geographical area such as a state or country.
The AZs are separated from one another to prevent service interruptions in the event of a disaster. Edge locations serve as Material Delivery Networks (CDNs), caching web content closer to the user's location for quicker delivery and response times.
This type of infrastructure enables data to be distributed more quickly around the world without compromising service availability or performance. AWS is one of the greatest IaaS platforms for data availability, high performance, and sheer number of applications, and it supports all operating systems.
Azure includes pre-installed and ready-to-run server software for a variety of languages, including.NET, Java, PHP, Node.js, and Python. The platform is available in more than 60 countries and is one of the most straightforward enterprise clouds to set up and operate. Azure uses cutting-edge technology to increase productivity and save costs.
Google Cloud Platform (GCP)
Google Cloud Platform (GCP) is a relatively new IaaS provider that has made a name for itself. Up to 2016, it supports multiple generations of Linux and Windows server platforms.
GCP is a pioneer in the deployment of subsea servers, with a unique cabling infrastructure that connects servers in Australia, the South Pacific, Asia, Japan, and the United States mainland.
AWS vs Azure vs Google Cloud Comparison
AWS-Amazon's Simple Storage Service (S3) is an industry standard protocol that is supported by the majority of major cloud providers (e.g. GCP). The Elastic Block System (EBS) from Amazon also provides big block storage.
If you require a more comprehensive storage solution, Amazon's Storage Gateway is a hybrid cloud provider that lets you use both a local cache and the cloud. If your data storage requirements exceed those of the ordinary company, Amazon's Elastic File Storage solution allows you to scale up as needed.
ElastiCache, likewise, allows you to access low-latency in-memory data repositories as needed. AWS also provides SQL-supported databases and a data migration solution to reduce downtime and make the shift to AWS easier.
Azure- Larger enterprises with high data storage demands might choose Azure Data Lake Storage and Queue Storage. Blob storage, on the other hand, is suitable for businesses that need to store massive amounts of unstructured data. Meanwhile, File Storage is dependable and well-suited to the majority of company requirements.
In addition to traditional storage, Azure has the most SQL-based databases, with three different formats to choose from. Even more intriguing is Azure's hybrid approach, which includes the Server Stretch database, which allows organisations to use Microsoft SQL Server for on-premises operations while also storing data in the cloud.
Among the three cloud providers, Azure has the sole backup recovery solution, which is a good complement to the standard system backup.
GCP- In comparison to the other two services, Google's storage options are very basic, with cloud storage and persistent disc storage rounding out the selections. However, because GCP supports both SQL and no-SQL databases, what is offered is dependable and comprehensive. Google also offers an in-house transfer service, as well as access to a growing number of online transfer services.
AWS- AWS offers a total of twenty AI/ML and IoT solutions, including the Lex interface, which puts Alexa's capability at your fingertips.
Not one, but two serverless tools are available on AWS. AWS Fargate makes it simple to deploy cloud apps, whereas Lambda is a serverless computing environment.
Azure- Azure's AI capabilities are less advanced than those of Amazon's AWS, and Azure only has one serverless platform compared to AWS' two. You can use Azure Functions to develop, manage, and execute complicated workflows. AS WELL, Azure has a variety of other AI and IoT tools.
GCP- From cloud text-to-speech and translation services to cloud app development, Google's algorithms exist in every one of their many products targeted at assisting development around the world. If your firm wants to leverage AI and machine learning, GCP might be the finest option. Cloud IoT Core and Cloud Functions, as well as Cloud Run, are among the serverless product offerings which allows you to develop and deploy highly scalable containerized applications on a fully managed serverless platform.
3) Network Comparison:
Azure Virtual Network is a service provided by Microsoft. Azure, which is currently available in 54 areas around the world, keeps traffic as much as possible within the Azure network rather than over the internet. As a result, you have a lightning-fast, secure networking solution that outperforms even AWS. Furthermore, Azure Virtual Network is extremely adaptable, allowing enterprises to use their own IP addresses and DNS servers, as well as a hybrid networking architecture.
Amazon Direct Connect is a service provided by Amazon. To assure continuous service and reliable performance at all times, Amazon has established a comprehensive global framework around 22 different global regions, 14 data centres, and 114 edge locations. As a result, AWS can provide quick cloud deployment models, quick delivery, and lightning-fast response times for its wide range of services. Its industry-standard 802.1q VLANs, in particular, enable a dedicated link between private networks and AWS via any of the many Direct Connect Locations.
Although Google Cloud Platform lacks the reach of the other two providers, it is supported by Google's legendary ability to innovate. Google now has 21 regions and counting, as well as a constantly rising number of data centres throughout the world, thanks to the addition of undersea cabling. Cloud Interconnect and Cloud VPN are examples of hybrid connectivity products that allow you to connect via enterprise-grade direct connections or an IPsec VPN.
Azure offers a 12-month free trial with a $200 credit to use within the first 30 days. More than 25 goods are constantly available for free.
AWS provides a non-expiring free tier that is offered to all users with restricted products. New AWS customers can also take advantage of a 12-month free trial that includes additional complimentary items.
With 20+ products and monthly limits, Google Cloud offers a free tier that never expires. In addition, new customers receive a $300 credit to try out more options.
It's tough to make an accurate price comparison since pricing is so complicated. When compared to AWS, Azure offers up to 85% savings, but in order to determine the exact cost of these cloud services for your comparison, you'll need to map out the services you want and utilise the pricing calculators for Azure, AWS, and Google Cloud separately.
AWS- AWS provides the Elastic Compute Cloud (EC2), which manages all compute services by managing virtual machines with default settings that may also be customised by customers.
Azure- Azure, on the other hand, provides Virtual Machines and Virtual Machine scale sets.
GCP- Google Cloud Platform (GCP) offers the Google Compute Engine (GCE), which fulfils similar functions.
AWS- Because Amazon is the oldest – and most experienced – cloud service provider, it has dealt with a wider range of problems and found answers in the past. Isolation via security groups (firewalls) and granular IAM, as well as vulnerability evaluation via AWS Inspector, API activity monitoring, threat information via Guard Duty, and data loss prevention are all available from Amazon.
Azure- Azure’s lie within its central security system, which is managed through a single directory. However, with fewer separation and controls in place to monitor console and API activity throughout the entire organisation, internal risks become more likely. Azure is also being chastised by businesses for its inconsistent compliance documents and defaulting to less secure options.
GCP- While segregating projects and defaulting to more secure options, Google has taken care to maintain centralised security access. However, GCP's security features and security specialists aren't as extensive as AWS's, but the Cloud Security Command Center is robust.
8) Database Services:
AWS- Azure has the most SQL-based databases, with three different formats to choose from. Even more intriguing is Azure's hybrid approach, which includes the Server Stretch database, which allows organisations to use Microsoft SQL Server for on-premises operations while also storing data in the cloud. (Examples of databases include SQL DB, MySQL DB, PostgreSQL DB, Cosmos DB, and others.)
Azure- Azure has the most SQL-based databases, with three different formats to choose from. Even more intriguing is Azure's hybrid approach, which includes the Server Stretch database, which allows organisations to use Microsoft SQL Server for on-premises operations while also storing data in the cloud. (Examples of databases include SQL DB, MySQL DB, PostgreSQL DB, Cosmos DB, and others.)
GCP- Here, SQL and NoSQL database services are available. Google Cloud Spanner is a solution for SQL-based databases that is tailored to meet the needs of data-intensive operations. For NoSQL database needs, it offers Cloud Bigtable and Cloud Datastore.
While we have attempted to compare these clouds on the basis of all important factors, there are still many factors which can be taken into consideration while comparing, which we will discuss in a future blog.
AWS, GCP, and Azure offer a pay-as-you-go model, a free tier, 24*7 support, and threat protection. AWS is a good fit if your business is migrating to the cloud for the first time. Azure is a good fit if you are a small business. Google Cloud is a good fit if you’re looking for a hyper-scale networking environment or you develop and deploy cloud-based software and apps. (These suggestions are absolutely mine and not be taken as professional advice)
Also, there are a few options to consider if you aren't quite ready to shift to a big cloud platform due to your present budget or scale. Oracle Cloud, Alibaba Cloud, IBM Cloud, and Tencent Cloud are all smaller-scale cloud conversion choices for your firm.
Now in case you are a student and fresh out of college or have no prior experience with cloud computing. We recommend learning AWS. In 2021, we believe AWS will be the finest cloud certification. Amazon Web Services (AWS) has a lead of more than 10% while owning only a third of the market.
Choose cloud certifications, however, based on the cloud career route you intend to take.
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