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AWS vs. Google Cloud: Face Off Between The Best

AWS vs. Google Cloud: Face Off Between The Best | Novelvista

Written by Vaibhav Umarvaishya

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An overview of who offers you the best of goodies for an e-business.

When you’ve got an E-business we all have an important question that tickles our mind, “ Which Cloud platform to go for? ” Well, it is pretty obvious that we always want the best, and we know there are so many cloud platforms available in the market.

Few of the leading ones are listed below:

  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • IBM Cloud
  • and many more

Now that it is clear AWS and Google Cloud Platform are THE most popular cloud computing platforms.

Let's just clear this huge confusion by comparing the 2 GIANTS from the base.

We’ll break the comparison into simple modules:

  • Statistics
  • Products
  • Pricing
  • Bottom-line

AWS vs Google Cloud: A Detailed Cloud Service Providers Comparison

In today’s digital-first world, choosing the perfect cloud platform can directly affect your e-business strategy. Two tech titans—Amazon Web Services in cloud computing and Google Cloud—continue to dominate the space. But when it comes to making a decision, the question normally comes up: Which platform provides better flexibility, pricing, and performance?

In this Cloud service providers comparison, we’ll break down the main features of AWS vs Google Cloud to help you make a thoughtful decision customized for your business requirements.

Statistics

Amazon Web Services  (AWS) is a subsidiary of Amazon, which was launched to provide on-demand cloud computing services  to businesses and individuals back in 2006.

Similarly, Google Cloud , a part of Google, is a suite of cloud computing services  offered to businesses and individuals, which was launched 2 years later in 2008.

Principally, both are the most trending platforms right now many popular brands utilizing them.

A few of them are listed below:

AWS

Google Cloud

1.      Netflix

2.      Times Inc.

3.      NASA

4.      Expedia

5.      Airbnb

6.      Lamborghini

1.      HTC

2.      Leadpages

3.      Heathrow

4.      Coca-Cola

5.      Evernote

6.      Sony Music

We’ll know both Google Cloud and AWS are big players in their own right.

Let’s dig deeper and see what Gartner analyses:

gartner-aws-report

Source: Canalys

Now, let's have a close look at the market share of AWS and other major players:

canalays-cloud

Source: Gartner
AWS is winning markets since the last few years, while other players, including Google Cloud, started gaining traction off late.

Well, we cannot decide on-basis of few standalone statistics. Many will agree that AWS is one of the oldest players in the game, but Google Cloud is no less than a game changer here.

Google Cloud is relatively new in the market but it may soon catch up and disrupt the industry like anything.

Core Services Comparison

Let’s look at how both platforms compare across major cloud computing services:

service comparison of aws and google cloud

While AWS provides a broader range of over 200 products, Google Cloud simplifies the experience with deeply combined tools built for data analysis, big data, and AI.
 

Pricing Models & Free Tier Benefits

Having knowledge about the pricing in the Google Cloud vs AWS battle can be difficult. Here's a simple breakdown:

AWS Pricing:

  • Pay-as-you-go system with pre-booked instances for cost control.
  • Free Tier includes:
  • 750 hours/month of EC2 (t2.micro) for 12 months
  • 5 GB of S3 storage
  • Volume discounts and spot instances for savings.

Take a look at the AWS Pricing to know more about it.

Google Cloud Pricing:

  • Per-second payment processing for most services (more precise than AWS).
  • Free Tier includes:
  • 1 f1-micro instance per month in select regions
  • 5 GB Cloud Storage and 1 GB egress per month
  • Ongoing use and dedicated use discounts without any advance payment.

Key Cost-Saving Measures:

  • AWS: Use Savings Plans, spot instances, or the Trusted Advisor tool.
  • Google Cloud: Use automatic sustained-use discounts and custom machine types.

For startups and small teams, Google Cloud’s pricing structure is normally more budget-friendly, while AWS provides flexibility for large-scale systems.

Products

AWS Google Cloud

1. Compute
Amazon Elastic Compute Cloud forms a central part of Amazon’s cloud-computing platform - AWS by allowing users to rent virtual computers on which they run their own computer applications.

Salient Features:

1. Secure
2. Resizable
3. Huge variety of instances
4. Linux and Windows support
5. GPU instances
6. Autoscaling
7. High-performance computing

1. Compute
Google Compute Engine is the Infrastructure as a Service component of Google Cloud Platform which is built on the global infrastructure that powers Google's search engine, Gmail, YouTube and other services. Google Compute Engine enables users to launch virtual machines on demand.
Compared to AWS, Google’s compute engine service has less offerings.
GCP uses mainly two engines:

1. Compute engine
2. Kubernetes engine

Salient Features:

1. Support for both machine types - custom and                  predefined
2. Per-second billing
3. Windows and Linux support
4. Provides a carbon-neutral infrastructure - consumes        half the energy of data centers
5. Free tier for one of micro instance on a monthly basis      for up to 12 months
6. Automatic discounts

2. Storage
AWS provides a good number of storage services options which includes:

1. Simple Storage Service (S3) - object storage
2. Elastic Block Storage (EBS) - persistent block storage
3. Elastic File System (EFS) - file storage
4. Storage Gateway - hybrid storage environment
5. Snowball for the physical transfer of data
6. Amazon Glacier for cold storage

2. Storage
Google Cloud also provides a number of storage services options which includes

  1. Cloud Storage stores large unstructured data sets       
  2. 2. Cloud Big table is Google’s consistent, high throughput, low latency NoSQL data storage

2. Cloud Spanner for enterprise standard relational data  storage
3. Cloud Datastore for no relational storage like NoSQL
4. Cloud SQL for MySQL
5. Google Cloud Platform (GCP) using the Nutanix Calm solution for Hybrid operation
6. The joint venture of Cisco and Google Cloud hybrid solution leverages managed Kubernetes, Cisco networking and security, GCP Service Catalog and Istio authentication and service mesh monitoring

3.   AWS Machine Learning and AI tools
1.   AWS Lambda for serverless function
2.   Amazon Redshift provides data warehousing for analytics.
3.   Amazon ElasticMapReduce to process large amounts of Data in Hadoop framework
5.   Amazon Kinesis to process streaming data
6.   Amazon Athena to query data for S3
7.   AWS Glue is a fully managed ETL service useful for data analytics
8.   Amazon AI suite for voice and chatbot support
9.   AWS Deep Learning AMIs
10. Amazon Rekognition for image and facial analysis
11. Supports deep learning development frameworks

3.  Google Machine Learning and AI tools
1.   Cloud Bigquery
2.   Cloud Data Flow
3.   Cloud Dataproc
4.   Cloud Data Lab
5.   Cloud Dataprep
6.   Cloud pub/sub
7.   Google Data studio
8.   Genomics
9.   Cloud Machine Learning engine
10. Cloud IoT core
11. Cloud Natural Language API
12. Cloud Speech API
13. Cloud Translation API
14. Cloud video intelligence
15. Cloud Vision API

Global Infrastructure: Regions & Availability Zones

Scalability and dependability start with a strong support. Here’s how the two big players rank:

regions availability zones
 

AWS holds a slight edge in global presence, but Google Cloud has been expanding rapidly with high-performance, eco-friendly data centers powered by renewable energy.

Security & Compliance

In the AWS vs Azure vs Google Cloud debate, security remains a key distinguishing feature. Both platforms take it seriously, providing strong security and compliance features.

AWS vs Google Cloud

Both cloud providers provide tools to observe, audit, and protect your tasks. However, Google Cloud progress further with continuity and low energy usage in its security-focused system.

User Experience, Documentation & Community Support

Ease of use can make or break your cloud journey.

AWS UX & Support:

  • Sharp training processes for beginners
  • Detailed but complicated documentation
  • Huge global user base and developer community
  • Provides 24/7 customer support tiers (Basic, Developer, Business, Enterprise)

Google Cloud UX & Support:

  • Clean and simple dashboard with shorter training processes
  • API-first approach and modern UI
  • Custom-crafted documentation and engaging tutorials
  • Community support and support plans similar to AWS.

In terms of user experience, Google Cloud shines for beginners and developers focused on AI/ML. AWS, meanwhile, is the go-to for enterprise-grade workloads.

Pricing

AWS Pricing

It is high and particularly challenging to understand. AWS offers a cost calculator with multiple variables associated with it, which makes estimation difficult.

Google Cloud Pricing

Google offers a customer-friendly pricing tier, which means they beat the base over other competitors. They offer huge discounts along with flexible contracts to take down the competitors. Moreover, they charge on an actual usage basis (per-minute basis).

Bottom Line

Both AWS & Google Cloud are extremely powerful cloud computing platforms. Both are efficient, reliable and perfect for large scale computing. If you’re running a data management business then nothing like these, as both AWS and Google Cloud offer wide range of enterprise-grade products and services. AWS offers around 200+ products while Google Cloud offers around 80+ products.

When we talk about an e-business, it’s never-ending - CMS, eCommerce, social media, and the list goes on. So which one is a winner, when it comes to comparing Google Cloud vs. AWS? Well, we’d say that both are perfectly imperfect in a retro style.

When it comes to reliability and speed, AWS is definitely one you want to check out! AWS of course also has a long-standing history of providing cloud computing services for businesses and enterprises over the past decade.

They really were the first ones to push the cloud industry forward, and are still the one that providers like Google and Azure are copying. Their support, redundancy, and availability as per different regions is credible.

There are many other products and services and a wide range of features from Google Cloud and AWS which couldn't be covered in this post. Whichever provides utility to your business, it's your preferred vendor.

aws-vs-cloud-cta

Conclusion:

When it comes to Google Cloud vs AWS, both platforms provide exceptional capabilities in the cloud ecosystem. AWS remains the industry standard with an unmatched variety of services and deep global reach. Google Cloud, on the other hand, is catching up with AI-ready tools, sustainable systems, and aggressive pricing models.

Your choice in the AWS vs Google Cloud debate should depend on your business priorities:

Need mature enterprise solutions and global infrastructure? Go with AWS.

Want cost-effective, AI-powered services and better documentation? Try Google Cloud.

And if you're still not sure, have a look at the AWS Certified Solutions Architect Associate Certification to gain in-depth practical knowledge of AWS capabilities.

For those who want to take a closer look at multi-cloud methods, you might also want to explore Microsoft Azure and see how it compares in the wider AWS vs Azure vs Google Cloud spectrum.

Ready to start your cloud journey with expert training and guidance? Explore training and certification programs with NovelVista and unlock your cloud potential today!

Ready to Master the Cloud with AWS?

Start your journey with the AWS Solutions Architect Associate course and build real-world skills that put you ahead of the competition.

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Vaibhav Umarvaishya

Vaibhav Umarvaishya

Cloud Engineer | Solution Architect

As a Cloud Engineer and AWS Solutions Architect Associate at NovelVista, I specialized in designing and deploying scalable and fault-tolerant systems on AWS. My responsibilities included selecting suitable AWS services based on specific requirements, managing AWS costs, and implementing best practices for security. I also played a pivotal role in migrating complex applications to AWS and advising on architectural decisions to optimize cloud deployments.

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