The majority of applications are operated virtually nowadays. This is because of the exponential growth of these applications – the ability of remote access and freedom of working remotely. There are many applications that help businesses drive better results and get ahead in the competition. There is a history of applications that have performed well for a business while not for all. This occurs because of the equivalent service offerings. Amazon Web services powered Lambda and Microsoft Azure and Google cloud platform are the three popular types of development services offered to businesses and most of the cloud services that they offer have many things in common.
Table of Content
- Let’s analyze them one by one: Azure Functions by Microsoft
- Google Cloud Platform/ Functions (GCF)
- Amazon Web Services (AWS) Lambda
- Analyze the Comparison between AWS Lambda, Azure, and Google Cloud
- Computational Workload of Azure vs AWS Vs Google Cloud:
- Cloud Storage Capacity and Feature Comparison of AWS Vs Azure Vs Google Cloud
- Best Networking Service Offering between- AWS Vs Azure Vs Google Cloud
- Market Growth and Popularity of AWS Vs Azure Vs Google Cloud:
- The Undefined Cost Structure of AWS Vs Azure Vs Google Cloud
Because the cloud services offered by these tech giants are almost similar so it becomes difficult for businesses to choose anyone from them. There is an unending competition between these services majorly between these brands like AWS, Microsoft, and Google. Hence, we decided to bring out the common factors as well as distinguishing features that make this choice unique for the business. Amazon, Microsoft, and Google dominate the public cloud space, offering the most secure, adaptive, and dependable cloud services. Through their cloud platforms, they provide clients with a variety of storage, computation, and networking options. Instant provisioning, self-service, autoscaling, identity management, security, and compliance are among the common features shared by all three platforms.
1. Let’s analyze them one by one: Azure Functions by Microsoft
Microsoft Azure, formerly known as Azure, was introduced in 2010 with the goal of providing organizations with a reliable Cloud Computing platform. In 2014, Azure was rebranded to ‘Microsoft Azure,’ while the term ‘Azure’ is still widely used. Microsoft Azure has made significant progress in comparison to its competitors since its beginnings. There are many functions added to this list.
Azure Function is a serverless solution where minimum coding is required and still offers robust infrastructure. The serverless architecture by Azure was brought into the picture to eliminate the cost of extra infrastructure. Speaking of just Azure functions, and when their demand increases, the functions need to be more scalable, and when the load on execution increases, it activates automation. Azure works automatically when the service request falls and then translates off all the additional resources and only the vital ones work in place. There is a cut-throat competition between AWS Lambda vs Azure function and somewhere Azure leads the game in many aspects.
Using the Azure function, a user can build and upload code for serverless architecture and then describe the triggers or events that will execute the code. Triggers can come from a variety of places, such as another user’s app or other cloud services like databases, event and notification hubs. There are many other features of Azure that make it a distinct and preferable cloud technology platform, lets see some of them in detail
Supportive of all types of Languages
- Python: version 2.3.1 or later of the Durable Functions extension is required.
- Precompiled class libraries and F# scripts are available in F#.
- The Azure Functions runtime version 1.x only supports F# scripts.
- Only version 3.x of the Azure Functions runtime supports PowerShell.
Apart from running on several mediums, there are many other Azure functions that make it the most preferred choice among businesses.
2. Google Cloud Platform/ Functions (GCF)
Swiftly moving to Google cloud functions GCP abbreviated as Google Cloud Platform is a set of cloud computing services supplied by Google that run on the same infrastructure that Google uses internally for its end-user products such as the Google Search engine, YouTube, and others.
Google Cloud Platform initiated the journey in 2011 and has managed to establish a strong position in the cloud business in less than a decade. Google Cloud was created with the intention of bolstering Google’s own products, such as the Google Search engine and YouTube.
Google’s Kubernetes standard has a strong container offering. No other cloud services also offer it. Google Cloud Platform focuses on high-performance computing services such as big data, analytics, and machine learning. It also provides significant scale and load balancing — Google is well-versed in data centers and quick response times.
Cloud Functions enables you to call your code straight from any web, mobile, or backend application through HTTP, as well as from Google Cloud, Firebase, and Google Assistant. You are only charged for the time it takes for your function to execute, which is measured to the closest some defined milliseconds. When your function isn’t in use, you don’t have to pay anything. Some other useful cloud services like cloud app development, machine learning engines and AI include cloud speech API, vision API provided by the Google platform.
3. Amazon Web Services (AWS) Lambda
Amazon Web Services is a subsidiary of Amazon.com that offers a subscription-based on-demand cloud computing platform to people, businesses, and governments which is called AWS Lambda. It is the oldest and largest cloud service provider offering services throughout the globe. As one of the first cloud service providers, there are many use cases of AWS with a larger user base that builds higher levels of trust and reliability.
The vast popularity of its operations is probably one of the reasons for its appeal. AWS cloud offers a vast and expanding set of services, as well as it has the world’s most extensive network of data centers. The virtual machines at amazon are extremely powerful and trusted sources in the entire cloud market. And because the cost of AWS Lambda is one of the major flaws it’s rates are continuously reduced, many businesses find it challenging to comprehend the company’s cost structure and properly manage those costs while running a large number of workloads on the service. With cloud services, AWS also offers 18,000+ features including, analytics and machine learning, productivity tools, developer and management tools.
All these cloud service providers offer various cloud computing services that are the basic requirements of any business.
4. Analyze the Comparison between AWS Lambda, Azure, and Google Cloud
4.1 Computational Workload of Azure vs AWS Vs Google Cloud:
One of the primary aspects for businesses to differentiate between these three is Cloud computing workload. In a matter of minutes, a cloud service provider should be able to grow a large number of nodes. Forbearing computational load, it is vital for businesses to understand what each one offers. Like if there is an elastic compute cloud in AWS Lambda then Azure has containers to cover for that and google has Compute Engine and Kubernetes. Let’s see more in brief:
The computational loads can be eliminated when virtual machine scale sets of Azure’s implementation are auto-scaled. Container Services employs Docker Hub and Azure Container registry for management, while Azure Container service is built on Kubernetes. Cloud services for scalable web applications is similar to AWS Elastic Beanstalk, and it features a batch service. It also provides a one-of-a-kind offering called Service Fabric, which is tailored to microservices-based applications.
“A web service that delivers secure, resizable compute capacity in the cloud,” according to Amazon. Elastic Cloud(EC2) provides a wide range of services, including a large number of instances, bare metal instances, GPU instances, high-performance computing, auto-scaling, and is Windows and Linux compatible. AWS also has a free EC2 tier that includes 750 hours each month for up to a year. When it comes to container-related services, Amazon’s different container services are gaining traction, and it now offers choices that support Docker, Kubernetes, and its own Fargate service for server and cluster automation.
In comparison to its competitors, Google’s computing services catalog is somewhat smaller. Compute Engine, the company’s principal service offers bespoke and predefined machines, that work on per-second charging with Linux, and Windows support. There are other automated discounts and carbon-neutral infrastructure that utilizes half the energy of traditional data centers. These features of Google cloud would make it easier for users to make a decision of which one to choose from the available options. Google has been the youngest player in cloud services because in such a small span they have built a reliable and stronger customer base.
4.2 Cloud Storage Capacity and Feature Comparison of AWS Vs Azure Vs Google Cloud
When it comes to the public cloud, another important thing to consider is the storage space. We all know that when it comes to the cloud, the storage space never goes off but there are some other features too offered by these three) giants that make data processing and management so easy. Let’s see one by one what each of these has to offer apart from regular computing service.
Relational Database Service (RDS), DynamoDB, NoSQL database, ElastiCache in-memory data store, Redshift data warehouse, Neptune graph database, and Database Migration Service are all SQL-compatible databases offered by Amazon. Glacier is a service provided by Amazon that is aimed at long-term archival storage at very cheap costs.
Its Storage Gateway may also be used to set up backup and archive procedures with ease. The Storage Gateway, which provides a hybrid storage environment, and Snowball, a physical hardware device that enterprises may use to transmit petabytes of data in scenarios., are two of its more innovative storage offerings.
The database choices in Azure are not limited. There is SQL Database, MySQL Database, and PostgreSQL Database are the three SQL-based choices. It also includes a Data Warehouse, Cosmos DB, and Table Storage for NoSQL.
The Server Stretch Database is its hybrid storage solution, created exclusively for enterprises that use Microsoft SQL Server in their own data centers. Redis Cache is its in-memory service. In contrast to AWS, Microsoft provides a backup service, as well as Site Recovery and Archive Storage.
Its unified object storage service, Google Cloud Storage, also has a Persistent Disk option.
When it comes to databases, GCP offers the SQL-based Cloud SQL and Cloud Spanner, a relational database built for critical workloads. Cloud Bigtable and Cloud Datastore are two NoSQL choices. It sometimes lacks backup and archiving capabilities. Google backup services are also fairly basic; it only stores the frequently accessed data which is also known as Nearline backup.
4.3 Best Networking Service Offering between- AWS Vs Azure Vs Google Cloud
In this section networking services are compared, we will just go through each aspect that makes it easier for businesses to differentiate. If you’re here to delve deeper into networking services offered by AWS, Azure and Google then you must see this.
For virtual private networks, amazon uses amazon VPC- Virtual private cloud. When it comes to Domain name server DNS, then AWS uses amazon Route 53. But when it comes to elastic load balancers, each one has its own, like AWS has its own while Azure and Google cloud has its own too. AWS also has a number of data centers and edge locations to ensure reliable network performance.
For Private networks, Azure uses virtual networks. While when it comes to Azure networking services, Azure DNS uses DNA of its own. Though it has its own Load balancing elements that balance its load easily.
In the same field of private networks, Google uses VPC- Virtual private cloud. For DNS settings, google has its own settings like it uses Google Cloud DNS. Google has its own in-house load balancers that help in cloud balancing.
4.4 Market Growth and Popularity of AWS Vs Azure Vs Google Cloud:
Now it’s time to compare the three cloud providers in terms of market share and popularity. Since the dawn of cloud computing, Amazon Web Services has dominated the global cloud business. AWS has a strong hold on the global market, with roughly 32% of the cloud market share.
Microsoft Azure cloud has a 20 percent share of the global cloud market, and lastly Google Cloud has 9 percent of the cloud market share. Each of the three cloud platforms, AWS, Azure, and GCP, is distinct in its own way. There are many use cases of Azure, google cloud and AWS to state this true. It provides a wide range of possibilities for businesses to choose from based on their own needs.
All the three titans are dominating these markets and their growth rate has been accelerating like never before.
AWS has larger community support and user base because it is the oldest player in the cloud business and holds the maximum market share. As a result, AWS has a larger number of high-profile and well-known customers such as Netflix, Airbnb, Unilever, and several others.
With time, Azure cloud is getting a larger number of high-profile customers. Azure currently boasts about 80% of Fortune 500 firms as customers. Johnson Controls, Fujifilm, HP, and some others are among its significant clients.
Google Cloud, on the other hand, uses the same infrastructure as Google Search and YouTube, and as a result, many high-end enterprises trust Google Cloud. HSBC, PayPal, and 20th Century Fox are some of Google Cloud’s biggest clients.
4.5 The Undefined Cost Structure of AWS Vs Azure Vs Google Cloud
Understanding price among these three cloud leaders is difficult – and cost varies depending on the precise agreement that a customer negotiates with their service representative.
The following are some examples of typical pricing engagements with each of the three cloud providers:
Pricing for AWS
The pricing on Amazon is particularly perplexing. While it does have a cost calculator, the numerous variables make precise calculations impossible.
Pricing for Azure cloud
Things aren’t made any easier by Microsoft Azure. Microsoft’s cloud cost and pricing structure can be difficult to understand without outside help and extensive experience due to its complicated software licensing options and use of situation-based discounts. Also, it has different pricing options for the type of support and services that you require from Microsoft cloud services.
Pricing on Google
Google, on the other hand, makes a point of differentiation with its pricing.
It aims to provide “customer-friendly” prices that are lower than the other providers’ list prices.
Throughout this cloud battle blog, we have seen three technology giants making an impact on their customers through their business offerings. Well, in all the aspects that we have compared, it is still challenging to decide which one is the best. Because in some use cases AWS wins the game so in others google cloud platform is more reliable. Although, Azure is leading the game in many other significant factors. But overall if we see in the ever-changing technology sector, compiling a comparison guide is a difficult task. As it can be seen, AWS is clearly ahead since it has been in the market for a long time compared to the other two. Although Azure and Google Cloud Platform are rapidly gaining ground in the global cloud market, reinforcing their popularity. We hope that with the help of our blog on Azure vs Aws vs Google cloud platform, there is now some clarification and a much better understanding of the three cloud providers in general.