Google Cloud Vs AWS

Introduction:

With Cloud Computing on the rise, leveraging it has become the highest priority for almost all organizations. Benefitting from Cloud Computing eventually comes down to deciding which cloud provider is the best in the cloud market. Which one to choose? Which one has a variety of services? Google Cloud vs AWS? This blog will provide you with a detailed comparative analysis of AWS Vs Google Cloud.

This article focuses on the following pointers:

• Google Cloud Vs AWS: Establishment

• Google Cloud Vs AWS: Availability Zones
• Google Cloud Platform
• AWS Vs GCP: Services
• AWS Vs. GCP Vs. Azure Market Share

Google Cloud Vs AWS: Establishment

Both Google Cloud and AWS (Amazon Web Services) are established and well-respected cloud computing platforms. However, their histories and backgrounds are different.

AWS was launched by Amazon in 2006, with the goal of providing scalable and reliable cloud computing services to businesses of all sizes. Amazon had already been using cloud computing internally for many years to power its own services, so AWS was a natural extension of that work.

Google Cloud, on the other hand, was launched by Google in 2011. Google had been offering various cloud-based services for years, but with the launch of Google Cloud, it aimed to provide a comprehensive set of cloud computing services that would compete with AWS and other cloud providers.

While AWS has been around longer and has a larger market share, Google Cloud has made significant strides in recent years to catch up. Both platforms have a range of powerful features and capabilities, and each has its own strengths and weaknesses that businesses should consider when selecting a cloud provider.

Google Cloud, on the other hand, was launched by Google in 2011. Google had been offering various cloud-based services for years, but with the launch of Google Cloud, it aimed to provide a comprehensive set of cloud computing services that would compete with AWS and other cloud providers.

While AWS has been around longer and has a larger market share, Google Cloud has made significant strides in recent years to catch up. Both platforms have a range of powerful features and capabilities, and each has its own strengths and weaknesses that businesses should consider when selecting a cloud provider.

Both Google Cloud and AWS are popular cloud service providers and each has its own strengths and weaknesses. Some key factors to consider when choosing between the two include:

• Pricing: Both Google Cloud and AWS offer a variety of pricing options, but Google Cloud may be more cost-effective for certain types of workloads, such as big data and analytics.
• Services: AWS offers a wide range of services, including a large number of tools for machine learning and data analytics. Google Cloud also offers a strong set of services, including its own machine-learning platform, TensorFlow.
• Global Coverage: AWS has more data center locations and more regions worldwide than Google Cloud, which may be important if you need to store data in specific regions or comply with data sovereignty laws.
• Integration: If you are already using other Google services, such as G Suite or Google Analytics, then it may make more sense to use Google Cloud as it will be easier to integrate these services.

Here’s a simple example of how to get started with Google Cloud:

from google.cloud import storage


# Create a client
client = storage.Client()


# Get the bucket
bucket = client.get_bucket("my-bucket")


# Create a new blob
blob = bucket.blob("my-file.txt")


# Upload some data
blob.upload_from_string("Hello, World

Similarly, here’s a simple example of how to get started with AWS:

import boto3


# Create a client
s3 = boto3.client('s3')


# Create a new bucket
s3.create_bucket(Bucket='my-bucket')


# Upload a file
s3.upload_file('my-file.txt', 'my-bucket', 'my-file.txt

In the end, the choice between Google Cloud and AWS will depend on your specific needs and preferences. Both offer powerful and flexible platforms, so it’s worth taking the time to evaluate which one is the best fit for your project.

Google Cloud Vs AWS: Availability Zones

Both Google Cloud and AWS offer multiple availability zones, which are distinct physical locations within a geographic region. Availability zones are designed to provide redundancy and fault tolerance, so that if one availability zone experiences an outage, applications and data can automatically fail over to another availability zone.

AWS was one of the first cloud providers to offer multiple availability zones, and it has a large number of them – currently over 80 across 25 geographic regions. This makes it easy for businesses to deploy applications in multiple locations around the world for improved performance and availability.

Google Cloud has fewer availability zones than AWS – currently 25 across 9 geographic regions. However, Google has been rapidly expanding its infrastructure in recent years, and it plans to add more availability zones in the future.

In terms of performance, both Google Cloud and AWS are known for providing low latency and high bandwidth connectivity between availability zones within a region. This means that applications can quickly and easily fail over to a backup zone without experiencing significant downtime or latency.

Ultimately, the number and location of availability zones may be an important consideration for businesses that need to ensure high availability and disaster recovery capabilities for their applications and services.

A discussion on the availability zones of both cloud giants is given below:

Amazon Web Services

Being the first one of its kind, AWS has had a significant amount of time to expand its infrastructure. AWS is already hosted in multiple locations worldwide. AWS has been made available within 21 geographic regions all around the world. Every AWS region comprises multiple small geographic areas known as availability zones. AWS has 66 availability zones with 12 more on the way.

Google Cloud Platform

Google Cloud Platform has been made available in 20 regions all around the world with 3 more on their way, and it has 61 zones worldwide.

With clearly more Availability zones and regions than GCP, AWS is the winner here.

Another important consideration when choosing between Google Cloud and AWS is the level of support and resources available. Both companies offer a range of support options, including community forums and paid support plans. However, AWS has a larger and more established ecosystem, which means there are more third-party resources and tutorials available for learning and troubleshooting. Google Cloud, on the other hand, is relatively new in comparison, but it is catching up fast, with a growing community and a wide range of tutorials, documentation, and resources.

In terms of specific services, Google Cloud offers a number of different services such as:

• BigQuery is a serverless data warehouse that allows you to query large datasets
• Kubernetes Engine, a service for deploying and managing containerized applications
• Cloud Natural Language API, a service for analyzing text and extracting insights
• Cloud Translation API, a service for automatically translating text between languages

AWS also offers a number of different services such as:

• Amazon S3, a highly scalable and durable object storage service
• Amazon Elastic Container Service (ECS), a service for deploying and scaling containerized applications
• Amazon SageMaker, a service for building, deploying, and managing machine learning models
• Amazon Transcribe is a service for transcribing speech to text.

In conclusion, both Google Cloud and AWS are powerful and flexible cloud platforms, each with its own strengths and weaknesses. The choice between the two will depend on your specific needs, such as pricing, global coverage, services, integration, and resources. It’s worth taking the time to evaluate which platform is the best fit for your project and testing out both platforms before making a decision.

AWS Vs GCP: Services

Both AWS and GCP (Google Cloud Platform) offer a wide range of cloud services that can be used to build, deploy, and manage applications and infrastructure in the cloud. While there is significant overlap between the services offered by both providers, there are also some differences.

AWS has been around longer and has a larger number of services – currently over 200 – which span a wide range of categories, including computing, storage, databases, networking, security, analytics, machine learning, and more. Some of the most popular AWS services include Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Relational Database Service (RDS), and Amazon Lambda.

GCP has a smaller number of services than AWS – currently around 90 – but it has been rapidly expanding its offerings in recent years. Like AWS, GCP’s services cover a wide range of categories, including computing, storage, databases, networking, security, analytics, machine learning, and more. Some of the most popular GCP services include Google Compute Engine, Google Cloud Storage, Google Cloud SQL, and Google Cloud Functions.

One area where GCP has an advantage over AWS is in the area of machine learning and artificial intelligence (AI) services. Google has a long history of working on AI research, and as a result, GCP has a robust set of AI services that include tools for natural language processing, computer vision, speech recognition, and more. AWS also offers a range of AI and machine learning services, but it may not be as comprehensive as GCP’s offerings.

Ultimately, the choice between AWS and GCP will depend on the specific needs of a business or organization. Both platforms offer a wide range of powerful and flexible services, and businesses should carefully consider their requirements in terms of performance, scalability, cost, and ease of use when making a decision.

AWS provides a comprehensive set of services that include:

• Compute: Amazon Elastic Compute Cloud (EC2) and AWS Lambda for serverless computing
• Storage: Amazon Simple Storage Service (S3) and Elastic Block Store (EBS)
• Databases: Amazon Relational Database Service (RDS), Amazon DynamoDB, and Amazon Redshift
• Networking: Amazon Virtual Private Cloud (VPC) and Amazon Route 53
• Security & Identity: AWS Identity and Access Management (IAM) and AWS Certificate Manager
• Analytics: Amazon Kinesis for real-time streaming data, Amazon Redshift for data warehousing, and Amazon QuickSight for business intelligence
• Machine Learning: Amazon SageMaker for building, training, and deploying machine learning models, Amazon Transcribe and Translate for speech and language processing, and Amazon Rekognition for image and video analysis
• IoT: AWS IoT for connecting devices to the cloud
• Mobile: AWS Mobile Hub for building, testing, and monitoring mobile apps
• DevOps: AWS CodeStar, CodeCommit, CodeBuild, CodeDeploy, and CodePipeline for continuous integration and delivery.

GCP, on the other hand, provides a set of services that include:

• Compute: Google Compute Engine (GCE) and Cloud Functions for serverless computing
• Storage: Google Cloud Storage and Persistent Disk
• Databases: Cloud SQL, Cloud Spanner, and Bigtable
• Networking: Virtual Private Cloud (VPC) and Cloud DNS
• Security & Identity: Cloud Identity and Access Management (IAM) and Cloud Key Management Service (KMS)
• Analytics: BigQuery for data warehousing, Cloud Dataflow for data processing, and Cloud Data Studio for business intelligence
• Machine Learning: Cloud ML Engine for building, training, and deploying machine learning models, Cloud Translation and Cloud Speech for natural language processing, and Cloud Vision for image and video analysis
• IoT: Cloud IoT for connecting devices to the cloud
• Mobile: Firebase for building, testing, and monitoring mobile apps
• DevOps: Cloud Build, Cloud Source Repositories, and Stackdriver for continuous integration and delivery.

Both AWS and GCP offer a wide range of services and have a similar set of offerings in terms of functionality, but they may have different names, pricing, and usage model. It’s worth evaluating which provider offers the best option for your specific use case and requirements.

AWS Vs. GCP Vs. Azure Market Share:

The following statistics are based on the most recent market share information available: 

As of 2021, AWS (Amazon Web Services) is the clear leader in the cloud computing market, with a market share of around 32%, according to the latest data from Synergy Research Group. However, GCP (Google Cloud Platform) and Azure, the cloud computing platform from Microsoft, are also significant players in the market.

GCP and Azure have been steadily gaining market share in recent years. As of 2021, GCP has a market share of around 10%, while Azure has a market share of around 20%. While both GCP and Azure are still significantly smaller than AWS, they are growing at a faster rate.

It’s worth noting that market share can be measured in different ways, and different analysts may come up with slightly different numbers. However, most industry observers agree that AWS is the market leader, followed by Azure and GCP.

It’s also important to note that the cloud computing market is growing rapidly, with more and more businesses moving their workloads and applications to the cloud. This means that there is plenty of room for all three platforms to continue growing and competing in the market.

Google Cloud Vs AWS: Who Uses Them?

Both Google Cloud Platform (GCP) and Amazon Web Services (AWS) are widely used by a variety of businesses and organizations, from small startups to large enterprises.

AWS has a larger market share and a long history in the cloud computing market, so it is considered to be the leader in the industry. It is used by many well-known companies such as Netflix, Airbnb, and Spotify, as well as government agencies and educational institutions. AWS is also popular among developers and startups for its wide range of services and ease of use.

GCP is also widely used, particularly by companies that are already using Google’s other products such as G Suite and Google Maps. GCP customers include companies such as Snapchat, HSBC, and Coca-Cola. GCP is also popular among companies in regulated industries such as finance and healthcare, thanks to its strong security and compliance features.

In summary, both GCP and AWS are widely used by a variety of businesses and organizations, with AWS having a larger market share. Both providers offer a wide range of services and have a reputation for being reliable and secure.

Another key factor to consider when choosing between the two is the level of compliance and security that they offer. Both Google Cloud and AWS have a wide range of security and compliance features, such as encryption, access controls, and data governance. However, AWS is considered to be more mature in terms of compliance and security, with a wider range of certifications and compliance frameworks. Google Cloud, on the other hand, is considered to be more flexible in terms of security and compliance, which may be a concern for some users.

Additionally, you should also consider the level of developer community and resources available. Google Cloud has a growing developer community, but AWS has a larger and more established ecosystem, which means there are more third-party resources and tutorials available for learning and troubleshooting.

In summary, Google Cloud and AWS are both powerful and flexible cloud platforms, each with its own strengths and weaknesses. The choice between the two will depend on your specific needs, such as pricing, global coverage, services, integration, resources, customization, control, compliance, security, and developer community. It’s worth evaluating which platform is the best fit for your project and testing both before making a decision.

AWS Vs Google Cloud: Security

Both Amazon Web Services (AWS) and Google Cloud Platform (GCP) place a strong emphasis on security and provide a range of features to help customers secure their applications and data.

AWS provides a wide range of security services, including:

• Identity and Access Management (IAM) to control access to AWS resources
• Virtual Private Cloud (VPC) to create a logically isolated section of the AWS cloud
• Security groups and network access control lists to control inbound and outbound traffic
• AWS Key Management Service (KMS) to create and manage encryption keys
• AWS Certificate Manager to manage SSL/TLS certificates
• AWS Config to track resource configurations and compliance
• AWS Web Application Firewall (WAF) to protect web applications from common web exploits
• Amazon GuardDuty for continuous threat detection and response
• Amazon Macie for data security and compliance.

GCP, on the other hand, provides a set of security features that include:

• Cloud Identity and Access Management (IAM) to control access to GCP resources
• Virtual Private Cloud (VPC) to create a logically isolated section of the GCP cloud
• Cloud Security Command Center for security management and operations
• Cloud Key Management Service (KMS) to create and manage encryption keys
• Cloud IAM Policy Simulator to simulate and analyze IAM policies
• Cloud Security Scanner to scan web applications for vulnerabilities
• Cloud Armor for DDoS protection
• Google Cloud Data Loss Prevention (DLP) for data security and compliance.

Both AWS and GCP provide a broad set of security services and features to help customers protect their applications and data. It’s worth reviewing each provider’s security offerings and certifications in relation to your specific requirements and compliance needs.

AWS Vs Google Cloud:

Support

Both Amazon Web Services (AWS) and Google Cloud Platform (GCP) offer a range of support options to help customers with their cloud-related issues. AWS offers several support plans with different levels of service and response times, including a free tier, while GCP offers a free tier as well as several paid support plans with different levels of service and response times. Both providers also have extensive documentation and resources, as well as active communities where customers can ask questions and get help from other users.

Networking:

Both AWS and GCP provide a range of networking services, such as virtual private cloud (VPC), load balancers, and DNS services. They also allow customers to connect their on-premises infrastructure to the cloud using VPN or Direct Connect. Both providers also offer global load balancing, which allows customers to distribute traffic across multiple regions for improved performance and reliability.

Downtime:

Both AWS and GCP have a good track record of uptime and have experienced minimal downtime. Both providers also offer service level agreements (SLAs) that guarantee a certain level of uptime for their services.

Job trends:

AWS and GCP are both in high demand in the job market, with many organizations looking for professionals with experience in one or both of these platforms. AWS has been in the market for longer than GCP, and it has a larger market share. However, GCP is growing rapidly and has been gaining market share in recent years. According to recent job data, GCP is considered the fastest-growing cloud platform in the market.

Conclusion:

In summary, both AWS and GCP provide a range of support options, and networking services, and have a good track record of uptime. Both are in high demand in the job market, with AWS having a larger market share but GCP growing rapidly. It’s worth evaluating which provider best fits your specific needs and resources, as well as considering the job market trends in your area.

GCP is a serious contender for AWS. While Amazon Web Services might be leading in terms of the number of customers, services, products, and market shares, GCP also tends to take the lead in terms of competition as well as cost-effective pricing models and more customization options.

And if you consider the trust factor, then Amazon Web Services, with its 5 years of a head start, surely does enjoy more trusted relationships with its clients. On the other hand, Google with its reputation for developing world-leading products surely makes the Google Cloud Platform seem promising. So, all things considered, it would be better to say that the choice between Google Cloud Vs AWS comes down to personal preference.