The trio of Amazon AWS, Google Cloud Platform (GCP), and Microsoft Azure rules the market, serving organizations like Netflix, Goldman Sachs, and Boeing. This article is your conclusive guide for picking the best cloud platform that fulfill your existing business needs. To assist you with settling on a cloud adoption choice, we will:
You must be very well aware of the advantages of cloud adoption. Now, it’s time to do extensive research and settle on a cloud provider that can boost your business growth.
- Draw a correlation between AWS vs Azure vs GCP
- Consider the advantages of moving to each platform
- Assist you with discovering which cloud stage wins the race for your business needs
According to Statista, the market share of each cloud service provider in 2021 is as follows –
- Microsoft Azure — 19%
- Google Cloud Platform — 7%
- Amazon Web Services — 32%
If you choose adopting cloud computing services of AWS, for example, these companies will be your neighbors:
- Netflix
- Expedia
- Apple
- Verizon
- Philips
- And 1 million more companies, small and giant
Adopting cloud computing services of Azure means using the same cloud services as:
- PepsiCo
- Boeing
- Adobe
- Bosch
- Uber
Google Cloud won’t disappoint you with its customer base, either. These are only a few of the giants using GCP:
- Goldman Sachs
- eBay
- PayPal
- Etsy
Parameters | AWS | Azure | GCP |
Cloud Regions | 25 | 60+ | 25 |
Availability Zones | 81 | At least 3 per region | 76 |
Suite of Services | 200+ | 200+ | 90+ |
Global Coverage | 245 countries and territories | 140 countries | 200 countries and territories |
Compute | EC2 | Azure virtual machine | Compute engine |
Relational & non-relational Database | 15 | 10 | 9 |
Storage | Simple storage service | Blob storage | Cloud storage |
Hybrid and multi-cloud strategy support | AWS Outposts | Azure stack | Anthos |
Serverless Functionality | AWS lambda | Azure functions | Cloud run |
Key AI/ML offerings | SageMaker, Amazon Augmented AI | Applied AI services | Vertex AI, Speech-to-Text, Text-to-Speech, Cloud Translation, Dialogflow |
Now, here is a detailed comparison among these three vendors over several parameters. These will help you find out which cloud platform can better serve your business requirements.
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Depth of Services
The distinctions between the cloud service providers start with how varied their offerings are. AWS and Azure offer 200+ services. Google Cloud’s contributions are not as bountiful, yet GCP is stronger than AWS and Azure on the AI/ML side.
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Availability
Every vendor aspires to persistently further develop their worldwide standings. Presently, notwithstanding, Azure is ahead in the race. It’s acquired strong traction in more than 60 regions, which is the reason it can guarantee higher assistance accessibility and lower latency in certain areas. Yet, you don’t think Google and Amazon drag behind Microsoft’s platform. The contrast between Azure and AWS and GCP is that Azure covers fewer nations than different merchants, so they are back on an equivalent balance.
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Compliance contributions
Every one of the three sellers have around 100 consistent contributions. However, most of them overlap, you should make certain about which controls are basic for your industry. For instance, assuming you’re a medical care business, ensure your IaaS supplier indents HIPAA, EPCS, and other pertinent rules for outer consistency.
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Compute
At the core of the AWS IaaS platform is EC2 and it’s not difficult to-oversee process limits, 400 instances, and unrivaled 400 Gbps Ethernet. Azure’s Virtual Machines and Google’s Compute Engine highlight incredible adaptability choices that permit you to customize their compute performance, memory, and capacity for all workloads.
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Databases
AWS has over 15 completely overseen choices, including relational (Amazon Aurora) and non-relational (Amazon DynamoDB) information bases. GCP and Azure have around ten engines each. Their key choices incorporate Azure SQL Database (relational) and Azure Cosmos DB (non-relational) versus Google’s Cloud SQL and Cloud Bigtable, individually.
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Storage
The exceptional storage services offered by three of them is Amazon’s S3 that vouches for industry-driving execution, Microsoft’s Blob Storage, and Google’s Cloud Storage. Every one of the three realizes no restrictions in putting away information and end up being trustworthy. Mass Storage has 16 nines in its durability when contrasted with 11 nines guaranteed by its counterparts.
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Serverless, IoT, and multi-cloud offerings
These cloud service providers have advanced numerous contributions to secure the best serverless, IoT, and hybrid cloud supplier title. Their administrations share comparable advantages, however not for a multi-cloud technique. Azure Stack can take your applications over the edge, yet it might perform in peril – very much like AWS Outposts – when running on several clouds. Google’s Anthos is more predictable for multi-cloud applications on account of Kubernetes clusters.
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AI/ML
With its various pre-configured APIs, Vertex AI presents a benefit to GCP. Google has many ML and AI tools that are popular on a worldwide scale. The distinction between AWS and Google Cloud and Applied AI Services from Azure is that Google is involving this in Google Search – and it functions admirably. So GCP is cool with flaunting its best resources.
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Pricing
For pricing, you shouldn’t anticipate meeting an altogether victor. AWS, GCP, and Azure go reliably as they all dispose of lock-in and take into account pay as you go. Regardless of whether you go over a less expensive product with AWS, this doesn’t mean other Amazon’s contributions are likewise more reasonable. Indeed, each of the three has cutthroat costs, so it doesn’t damage to search around and work out the expense of the service your business needs. Take as much time as is needed to figure out the way that every vendor changes these distinctions for your potential benefit of public cloud adoption.
We hope this article has helped you in your public cloud adoption strategy. If you are looking for cloud staff augmentation services, do let us know your requirements. We can help you hire project-based cloud experts within 48 hours. Hurry Up Now!