Top 10 AWS Applications and Their Use Cases [2025 Updated]

AWS is the gold standard of Cloud Computing and has some reasons for it. It offers more than 170 AWS services to the developers so they can use them from anywhere when required. AWS Applications provide many services, from storage to serverless computing, and can be tailored to meet diverse business requirements.

Certainly, AWS is the market leader since it has a 41.5% market share, while all of its rivals combined, Microsoft Azure (29.4%), Google Cloud (3.0%), and IBM (2.6%), do not even reach that percentage. That shows how much AWS has to offer, and you must know about it if you’re a cloud computing enthusiast. I will explore the top 10 AWS applications and their use cases in this blog.

What is AWS?

AWS, which stands for Amazon Web Services, is a range of cloud computing services, including services for computing power, storage, and databases. It is a scalable and feature-complete cloud platform that helps companies of all sizes to take advantage of cloud computing.

If you’re wondering what AWS applications are, I’m here to clarify that. Well, you already know that AWS is among the top cloud service providers in the world, delivering scalability, reliability, and flexibility to companies of all sizes, from startups to large enterprises. AWS applications allow organizations to build and deploy applications quickly with minimum resource investment, enabling them to focus on innovation and growth. If you’re interested in cloud computing, an AWS certification or Bootcamp Cloud Computing can add a competitive edge to your resume. So, get started today with your journey!

Why Use AWS?

Several AWS apps can be used in a variety of ways. But these benefits are common to all:

• Scalability: AWS provides almost unlimited scalability, enabling organizations to grow or shrink their resources as needed. Therefore, they adjust their workload without fear of the infrastructure capacity.
• Reliability: AWS offers an ultramodern infrastructure that spans multiple data centers in various regions across the globe. This provides high availability and redundancy, thus minimizing downtime risks and ensuring continuous operations.
• Flexibility: AWS business applications provide a broad number of services and configurations, making it possible for businesses to customize their infrastructure depending on their requirements. Regardless of whether it is in computing power, storage, databases, or machine learning, AWS allows us to use the services that are right for the use case.
• Cost-effectiveness: Using AWS, clients only use the resources they use on a pay-as-you-go model. This removes the requirement for initial capital investments in the hardware and enables resource optimization by scaling resources.
• Security: AWS promotes security and compliance, providing comprehensive security features and controls to protect data and applications. These include encryption, identity and access management, network security, and compliance certifications.
• Global Reach: AWS has an immense global infrastructure presence, with data centers across many regions worldwide. It enables enterprises to locate applications near the users to cut down on latency and enhance profit.

Top 10 AWS Applications and Their Use Cases

AWS is a cloud computing platform and a comprehensive set of services targeting various business requirements. From website hosting to running complicated machine learning algorithms, AWS provides a lot of applications that allow businesses to innovate, scale, and digitally transform. You can enroll in an Amazon AWS course to learn more about AWS. Now let us see some top AWS applications list and their use cases:

1. Amazon EC2 (Elastic Compute Cloud).

One of the core AWS apps, Amazon EC2, offers resizable compute capacity in the cloud. It enables companies to deploy virtual server instances, having different configurations depending on their compute, memory, and storage needs. EC2 use cases go from hosting mundane websites and web applications to executing enterprise-scale workloads such as databases, analytics, and machine learning models.

2. Amazon S3 (Simple Storage Service)

Amazon S3 is an unlimited scalability object storage service targeted at storing and retrieving any amount of data from any location on the internet. It also keeps backups, media files, log data, and static website content. S3 is suitable across several scenarios that utilize S3’s durability, availability, and security features, such as data archiving, content distribution, and data lake implementations, among many others.

3. AWS Lambda

AWS Lambda is a serverless computing service that enables developers to run code in response to events without needing to work with servers. It allows businesses to construct event-driven architectures and microservices in which functions are invoked by events like file uploads, database changes, or HTTP requests. Lambda usage includes real-time data processing, communication with IoT devices, and execution of automated tasks.

4. Amazon RDS (Relational Database Service)

Another famous AWS web application is the Amazon RDS, a relational database service managed and simple to install, operate, and scale databases on the cloud. Subsystems popular databases like MySQL, PostgreSQL, and Microsoft SQL Server, eliminating manual database management tasks like hardware provisioning, patching, and backups. Web applications, e-commerce platforms, and business-critical applications with the need for relational database capabilities are the common users of RDS.

5. Amazon DynamoDB

DynamoDB is a managed NoSQL database offered by Amazon that delivers millisecond-level performance at any scale. It is built to offer failover capabilities and linear scalability to applications with high throughput and minimal latency needs. The use cases for DynamoDB include real-time bidding, gaming leaderboards, and user session management for web and mobile applications.

6. Amazon Redshift

Amazon Redshift is a completely managed data warehousing service that enables organizations to analyze large datasets with standard SQL queries. It provides high query performance and scalable storage for analytic load so that organizations can gain meaningful insights from their data. Redshift is one of the most popular AWS business applications, which is famous within the business intelligence, data warehousing, and reporting applications used in industries, e.g., retail, financial, and healthcare.

7. ECS (Elastic Container Service) provided by Amazon

Amazon ECS is a fully managed container orchestration service that allows businesses to run and scale containerized applications using Docker containers. It makes the deployment and management of containers on a cluster of EC2 instances easy, enabling developers to concentrate on creating and shipping applications. ECS is mostly used in microservices architecture, batch processing, and CI/CD pipelines.

8. Amazon SQS (Simple Queue Service)

Amazon SQS represents a completely managed message queueing service that allows separation and expansion of distributed systems components. It allows developers to send, store, and receive messages between software components, simplifying the process of developing fault-tolerant and scalable applications. In cloud-native applications, SQS is typically used for asynchronous communication, task offloading, and event-driven architectures.

9. Amazon SNS (Simple Notification Service)

Amazon SNS is a Pub/sub-messaging service that is completely managed in the cloud, and it allows enterprises to send messages to distributed systems or individual gadgets. The system also caters to different delivery protocols such as HTTP/S, email, SMS, and mobile push notifications, thus making it flexible to handle various communication scenarios. The SNS is widely used for broadcasting notifications, triggering workflows, and coordinating distributed systems in real-time.

10. Amazon Kinesis

Amazon Kinesis is a set of services completely managed and dedicated to real-time data streaming and analytics. It makes real-time streaming data collection, processing, and analytics possible for timely insight and decision-making for businesses. Most companies in media, advertising, and even finance use Kinesis for log and event data ingestion, clickstream analytics, and IoT data processing.

Conclusion

AWS has released over two hundred production-level services. Many such enterprises use these services, thereby proving that the features and services of AWS are the best among all the cloud computing industries. Different service functionalities have different purposes. The developer can use applications of AWS by checking the use cases to determine what functionalities a specific service offers. So, now is the perfect time to start with AWS and cloud fundamentals. KnowledgeHut fundamentals of Cloud Computing is the best for you if you’re a beginner.