Amazon Web Services (AWS) 2026 Overview: Pricing, Ratings & Details

1. About AWS
2. Pros of AWS
3. Cons of AWS
4. Breakdown of core features

Amazon Web Services (AWS) provides a scalable cloud infrastructure platform that powers numerous businesses in different countries around the world. It offers a complete set of infrastructure and application services that enable businesses to run everything in the cloud: from enterprise applications and big data projects to social games and mobile apps. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries use AWS. The platform exposes key infrastructure services to businesses in the form of web services — now widely known as cloud computing. It gives the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, companies can take advantage of Amazon's expertise to access resources when their business needs them, delivering results faster.

Pros of AWS

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• AWS offers more services and features compared to other cloud providers. It brings everything from infrastructure technologies like computing, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and the Internet of Things.
• It has a wide variety of databases that are purpose-built for different types of applications so users can choose the right tool for the job to get the best cost and performance.

Cons of AWS

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• Extensive training may be required for users to utilize AWS fully.

Breakdown of core features

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Computing

AWS offers in-depth and comprehensive functionality for computing. It has the Amazon Elastic Cloud Compute (EC2) that delivers granular control for managing the infrastructure with the choice of processors, storage, and networking. The AWS container services give the flexibility of services to run containers. Furthermore, AWS Lambda allows developers to run code in response to events from more than 150 natively integrated AWS and software as a service (SaaS) sources.

Databases

Organizations can modernize their data infrastructure with AWS’s fully-managed, purpose-built databases. This feature lets businesses build case-driven and distributed applications suited to their specific needs. AWS has over 15 purpose-built engines to support diverse data models, including relational, key-value, document, in-memory, time series, and ledger databases. It frees teams from time-consuming database tasks, like server provisioning, patching, and backups. Moreover, AWS's fully-managed database services facilitate continuous monitoring, self-healing storage, and automated scaling so users can focus on application development.

Storage

Different Amazon workloads can have vastly different storage requirements. Beyond the built-in instance storage, AWS also presents Amazon Elastic Block Store (Amazon EBS) and Amazon Elastic File System (Amazon EFS) to suit other cloud storage workload requirements. Amazon EBS enables persistent, highly available, consistent, low-latency block storage volumes while Amazon EFS provides simple, scalable, fully managed cloud file storage for shared access.

Machine learning

Businesses can make accurate predictions, get deeper insights from their data, reduce operational overhead, and improve customer experience with AWS machine learning (ML). AWS helps users at every stage of their ML adoption journey with a thorough set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources. It allows users to address common business problems to optimize business processes and accelerate innovation.