Cloud computing has been one of the most influential technologies in recent history, and with good reason. The ability to access your files from anywhere, host a website for free, or run an application without worrying about where it is physically located has truly changed the way we live our daily lives. However many people are wondering which cloud provider offers more bang for their buck when looking into what technology will best suit their needs.
The “aws vs azure vs google cloud comparison pdf” is a document that compares the three major cloud providers, AWS, Azure, and Google Cloud. It includes features of each service and how they compare to one another.
A trio of cloud computing solutions stands out in comparison to the rest of the industry. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are the most popular choices for businesses. Thankfully, none of the options are subpar. Each has advantages and disadvantages, and how a team views them depends on their infrastructure needs.
How do they stack up? This review examines each service and evaluates what they provide in terms of technology.
Market Share Comparison
AWS is the most popular cloud provider by a wide margin, accounting for 33% of the worldwide SaaS/PaaS market. Azure comes in second with 18% of the market share. The bronze award goes to Google Cloud.
It’s worth noting that AWS debuted in 2006, two years before Azure and Google Cloud. The service has had more time to develop and spread over the cloud. In a market where the “familiarity factor” is high, Amazon has also acquired many consumers first. That was a significant step forward. Competitors must either provide something extremely attractive or undercut on price in order to switch (perhaps delivering better value).
For the time being, though, AWS has outgrown its spectacular expansion period. According to a survey by 2020 Synergy Research Group, AWS increased in lockstep with the rest of the market. Surprisingly, Azure has outperformed its competitors in terms of growth, taking three percentage points last year alone. The story of Google Cloud is complicated. Despite a 47 percent increase in income year over year, the business nonetheless has a somewhat higher operational loss than the previous year. As related technologies become more prevalent, Google’s AI expertise is expected to be a benefit for future development.
There is no service that lags behind because it is objectively “worse” than the others. Different infrastructure arrangements are catered to by AWS, Azure, and Google Cloud. AWS and Azure are also significant income generators for their respective companies. Because Google Cloud is losing money, Alphabet as a whole is making up for it in other lucrative areas of the firm. That’s not to suggest Google Cloud and Google Cloud Platform (GCP) aren’t significant; they’re simply taking a more cautious approach than their competitors. CFO Ruth Porat, on the other hand, is upbeat about the future. Recently, Google Cloud’s expansion has outperformed the market.
Models of Pricing
Each provider sets its own pricing, albeit these days the differences aren’t as great. Aside from standard pricing, some merchants provide special promotions to attract new clients or maintain current ones. Google’s calling card has always been this. The site generally provides two sorts of discounts: one for frequent usage and the other for long-term use.
Pricing for Google Cloud
The first ties savings to a contract term, requiring you to commit to using Google Cloud resources (particularly Compute Engine) for one to three years. This is mostly useful for virtual machines. Teams may acquire project-specific commitments or pool these reductions across many projects. Meanwhile, after you’ve used resources for a given amount of time, sustained usage reductions are applied automatically. Your total expenditures are decreased if you use Google Cloud vCPU and RAM often over a billing cycle. GPU devices are no exception.
Google Cloud is otherwise a pay-as-you-go service. Instead of reserving specific capacities—which may be excessive or inadequate—you are paid for the resources you utilize. Customers may also utilize more than 20 goods for free before reaching a use limit.
Pricing for AWS
AWS, like Google, provides a volume discount, which is a kind of long-term discount. Essentially, until you hit a certain threshold, you are charged a regular billing rate for resource utilization. This is comparable to memory and computation resources. AWS does, however, provide a number of data management services, such as S3 and Data Transfer. You may be charged a flat cost for the first 10TB of data sent. Once your data totals reach that limit, Amazon will reduce your per-GB fee.
AWS also offers a free tier, which functions similarly to Google Clouds. You may either pay as you go or reserve tiered capacity. According to Amazon, the latter choice may save you money if you utilize it consistently.
Pricing for Microsoft Azure
Azure, like its competitors, provides reservation discounts. You may save money by signing one or three-year contracts and claiming a set amount of capacity all at once. Microsoft’s software ecosystem also provides customers with unique savings opportunities.
While AWS and Google can operate Windows or SQL servers, it is not cheap. If you’re already a Windows customer, though, Azure might save you a lot of money. In its comparisons, Azure particularly mentions AWS. When you use Windows VMs on Azure instead of AWS EC2, you may expect to save 71%. Similarly, you may save 85 percent on SQL Database Instances or 45 percent on SQL Server VMs when using AWS RDS. Overall, Microsoft believes that operating similar workloads on AWS is five times more costly. That’s something to think about.
Azure chiefly touts its pay-as-you-go model on its pricing page. This is expected and aligns well with its competitors’ offerings. Note that Azure has 21 product categories, each with multiple products. Many of these products have specific Models of Pricing, which—while not uncommon—may result in fragmentation with complex use cases.
Pricing comparison between AWS, Google Cloud, and Azure
What are a few broad observations?
- For systems that use general-purpose or on-instance versions of cloud that are memory-optimized, AWS and Google Cloud are priced similarly.
- On the compute-optimized side, Google Cloud is obviously the most expensive, while AWS and Azure are roughly equal.
- Because Google prefers 40vCPUs and 12vCPUs over smaller 4vCPUs, memory-optimized and accelerated resources seem to be exorbitantly costly.
- Google Cloud offers the most affordable one-year commitment pricing for memory-optimized instances.
- For compute-optimized cloud instances, Google Cloud is much less expensive.
For their services, all three companies use hourly and per-minute charging. At a particular usage-time threshold, each has implemented per-second pricing. This structure is more detailed than the ones before it.
Notes on Computing without servers
The cost of serverless installations varies depending on the service. In terms of cost, AWS and Azure are roughly identical, whereas performance-based charges make Google Cloud much more expensive. However, this expense is unlikely to be prohibitive. It can also make sense if the changes in CPU MHz are relevant to your workloads. Serverless free tiers are also available from each provider.
Deployment and Infrastructure Types That Work Best
While businesses are moving away from conventional data centers, certain aspects of these on-premises installations appeal to technical teams. A comprehensive cloud migration isn’t always straightforward. As a result, many businesses have chosen a hybrid cloud system, which combines on-premises management and flexibility with virtual scalability. This method enables teams to make important applications and resources accessible at any time and from any location. Many teams begin their journey in this manner.
This configuration works great with Azure right away. Microsoft is an industry leader who has always prioritized data-center customers’ demands. Azure’s tools and resources are incredibly handy if you’re taking a hybrid strategy. Azure’s control plane integrates with on-premises hardware as well as remote resources such as VMs and other instances. This shift is also made easier by identity management and network connectivity with current on-premises infrastructure. Two products that make this possible are Azure Stack and Azure ExpressRoute. Finally, Azure has made significant progress in the area of edge computing.
AWS, on the other hand, is focused on public cloud computing. While you may reserve capacity according to your requirements, Amazon has customers who share the same resources. Tenants get their own networking devices, storage, and hardware. Public clouds are usually less expensive than private clouds. Although public resources aren’t the platform’s primary emphasis, Microsoft Azure does provide them. Amazon does have its own Virtual Private Cloud for networking needs (VPC).
Meanwhile, one of the platform’s bright spots is Google Cloud’s Virtual Private Cloud (VPC). This enables teams to scale a variety of workloads, whether local or worldwide. These VPCs are easily shared and extensible. Google Cloud also offers excellent hybrid and multi-cloud application deployments. Customers may utilize two public cloud providers at the same time to handle particular workloads while using multi-cloud.
How does availability differ by geography, though? AWS has 77 availability zones spread out over 24 regions, covering 240 nations and territories. Azure is offered in 140 countries and 60 regions. Finally, Google Cloud has 73 availability zones spread over 23 regions and 200+ countries. AWS seems to be the clear winner here.
One limitation is in the area of edge computing, where Google has a distinct advantage. While Amazon Web Services has 44 edge networking sites, Google Cloud has 144. Azure does not specify how many total edge zones it manages.
Why Would You Go with Amazon Web Services? (AWS)
Overall, the broad array of technologies available under the AWS umbrella is unrivaled. There’s almost surely something for you if you deal with a variety of apps, workloads, and architectures (server vs. serverless). Over 42 services and tools are available on the AWS platform. These are divided into the following categories:
- Services for computing
- Services for storage
- AI and ML
- Services for databases
- Backup solutions
- Computing without servers
While we may classify Google Cloud and Azure’s tools similarly, they lack the overall scope of AWS. While it may seem like AWS is throwing everything at the wall to see what sticks, these services are much more than that. The firm has the resources to provide them and will continue to do so throughout time.
AWS also has the broadest global reach among its rivals at similar rates.
Why Would You Pick Microsoft Azure?
If you’re new to cloud computing or managing a modernization initiative across your physical infrastructure, Azure is the obvious option. When it comes to hybridization, the option is likely the best, particularly because so many businesses depend on Windows. For extensibility, Azure also allows open source add-ons. Knowledge of Microsoft services and procedures will come in handy here.
Why Would You Pick Google Cloud?
If your company relies on AI or machine learning, look no further. While some providers have just introduced support for libraries such as TensorFlow, Google Cloud has been using it for quite some time. Google is putting a lot of money on this. This promise indicates that the corporation will continue to serve developers and other data science workloads for many years.
Otherwise, Google Cloud is designed to assist cloud enterprises first, with less emphasis on data centers and “conventional” technological techniques. Its technologies (Cloud Functions, App Engine, and Kubernetes) are DevOps-friendly and work well with open-source contributions. Finally, Google provides clients with a comprehensive container-based cloud computing platform.
Choose a holistic vendor.
As you can see, the dispute between AWS, Azure, and Google Cloud is everything from black and white. You’ll need to think about your team’s and environment’s overall demands before narrowing down your selections. Whatever option you select, you’ll get specialized assistance and a wealth of technical knowledge from the seller.
The “aws vs azure vs google cloud market share 2021” is a question that has been asked many times. In 2021, it is predicted that the AWS will be the leader with Azure coming in second and Google Cloud coming in third place.
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