In the world of cloud computing, choosing the right platform is like picking the perfect set of tools for a master craftsman—your business’s success depends on it. With Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) leading the market, the decision is anything but simple.

AWS is the seasoned craftsman of the cloud world. With the largest global presence and the most extensive range of services, it’s like having every tool imaginable at your fingertips. Need scalability? Done. Looking for robust analytics? No problem. Want to deploy across continents with low latency? Dedicatted and AWS have you covered.

Then there’s Microsoft Azure, the seamless multitasker. It’s the cloud of choice for enterprises tied to Microsoft’s ecosystem. If your business is already running on Windows Server, Office 365, or Active Directory, Azure feels like an extension of your existing setup—effortless and interconnected.

And finally, we have Google Cloud Platform (GCP)—the visionary. Known for its prowess in big data and machine learning, GCP isn’t just a cloud provider; it’s a data scientist’s playground. If your business is driven by analytics and innovation, Google’s infrastructure is where your ideas can truly take flight.

In this in-depth comparison, we’ll explore how these cloud giants stack up across critical areas like global reach, service offerings, hybrid capabilities, and more. By the end, you’ll have a clear picture of which cloud platform can help you build, scale, and innovate faster than ever before.

Global Reach and Infrastructure

When it comes to physical infrastructure and global scale, AWS maintains a clear lead. As of now, AWS operates across 30+ regions and 100+ availability zones, with more on the way. This expansive network supports its aggressive push toward low-latency, high-resilience cloud deployments in virtually every corner of the world.

One powerful example of the transformative impact can be seen in our AWS and GenAI solution for Hercules’ financial operations with measurable results: 40% cost reduction across financial operations with significantly reduced processing time

Azure, however, surpasses both AWS and GCP in geographic spread, operating in over 60 regions worldwide with 116+ availability zones—the highest regional coverage among the three. Microsoft’s unique emphasis on global compliance and hybrid cloud readiness has made Azure the go-to choice for governments and multinational enterprises alike. Based on the annual contract size, the largest Azure users are:  Verizon , MSI Computer, LG Electronics,  Wikimedia Foundation, LinkedIn Corp.

Google Cloud, while smaller in scale, has built a high-performance, developer-optimized backbone with 38 regions and 100+ zones, strategically located to support advanced data workloads and AI-powered applications. GCP focuses less on brute-force expansion and more on high-throughput infrastructure and cutting-edge innovation.

Thinking about moving to the cloud? Our article, Unlocking the Power of Cloud Migration: Why Enterprises Are Embracing the Future, shows how seamless cloud migration can transform your business. 
Make Your Cloud Move with Confidence. Let Dedicatted — an AWS Advanced Tier and Generative AI Services Partner — guide you through every step.👉 Get in Touch

How to make the right choice: AWS vs Azure vs GCP

From compute services to pricing, here is what sets each platform apart:

Services’ Ecosystem. Even though there are some differences between AWS, Azure, and Google Cloud’s number of services, we should remember that Some GCP services work as part of the “umbrella,” such as the GCP Migration Center. From the ecosystem point of view, Azure and GCP, at the forefront of the ecosystem, showcase LDAP and collaborative apps, slightly outpacing AWS.

Hybrid cloud. As we know, many cloud customers want to avoid vendor lock-in; part of this is hybrid and multi-cloud environments. From the Hybrid cloud perspective, all three providers have the hybrid part. Azure is known for its strong hybrid cloud capabilities. It seamlessly integrates with on-premises environments, making it suitable for organizations with a mix of cloud and on-premises infrastructure.  In cases of using AWS, you should have the specialized hardware. In Google Cloud, a complete software stack can be installed on your existing hardware or your data centers.

Computing. Databases & Analytics

Compute is a term that describes how computers work. Connecting many nodes is simple for a good cloud provider. Here is a look at each platform’s computational capabilities.

AWS key tools

Artificial Intelligence and Machine learning: AWS released Gluon. This open-source deep-learning library allows developers and non-developers to build neural networks without prior knowledge of AI. DeepLens is an AI-powered camera that may create and implement machine learning algorithms for optical character recognition, image identification, and object recognition.

SageMaker to Serverless: SageMaker is another AWS service used to train and deploy machine learning models. It also includes the Lex conversational interface, enabling Alexa services, Greengrass IoT messaging, and Lambda serverless computing.

Azure key tools

Cognitive Services: Bing Web Search API, Face API, Computer Vision API, and Custom Vision Service are among the cognitive services available. Microsoft offers many IoT management and analytics services and functions, and a serverless computing solution.

Google Cloud key tools

IoT to Serverless: Google Cloud includes APIs for natural language, speech, translation, and other advanced technologies. It also offers IoT and serverless services. However, these are still beta versions.
Big On AI: Google Cloud is now the frontrunner in AI advancement. TensorFlow, an open-source software library for creating machine learning applications, deserves credit. Many developers love TensorFlow.

Cost. Billing. Budget Control

Pricing and Cost Management:

1. AWS: AWS operates on a pay-as-you-go model with pricing tools like AWS Cost Explorer and Trusted Advisor for cost optimization. It also offers Savings Plans and Reserved Instances for long-term commitments.

2. Microsoft Azure: Azure matches AWS with pay-as-you-go options and adds Azure Cost Management for budget tracking. Azure also offers Hybrid Use Benefits for users extending existing licenses to the cloud.

3. Google Cloud Platform: GCP is recognized for its competitive pricing and transparent billing, with sustained use discounts and custom VM configurations that often reduce costs significantly.

Why AWS is the Partner of Choice

When technology leaders choose a cloud provider, the priority is performance, scalability, and operational control. AWS delivers on all three. According to IDC, AWS customers typically achieve a 50% reduction in 5-year operational costs and a 2.3× increase in feature delivery—results that translate directly to revenue growth. 

As an AWS Advanced Tier Services Partner, Dedicatted helps you optimize your AWS environment for performance and cost-efficiency—aligning every cloud decision with your bottom line.

With over 50 cloud experts on board, we are fully equipped to help you develop cloud-native apps or move your existing applications to the cloud. From cloud readiness assessment and strategy development to infrastructure setup, architecture redesign, migration, and maintenance, our specialists will support you at any stage of your cloud journey