There are databases at the core of every application, directly dictating performance, scalability, and user experience in modern cloud environments. Addressing these demands, AWS database services offer a comprehensive suite of scalable, reliable, and cost-effective managed cloud databases, enabling:
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By prioritising fully managed database services like Amazon RDS and DynamoDB, developers shift focus from infrastructure overhead to application innovation and growth strategies.
AWS (Amazon Web Services) provides a broad selection of fully managed, purpose-built database services, both relational and non-relational, designed to meet the diverse requirements of modern applications.
In short, AWS is the go-to resource for everything database-related, from fully managed database services and data warehouses for analytics to in-memory data stores for caching. AWS also offers database services to:
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Given below are the various AWS database services offered by AWS:
Relational databases use Structured Query Language, or SQL, to run queries and perform operations such as insertion, updating, and deletion. In relational databases, the data is stored in a tabular format. AWS provides the following relational database services:
Amazon RDS supports several database engines, including:
While you reap all these benefits, you can also enjoy familiarity with the database engines you know and prefer. You can also automate routine administrative tasks such as backups, patch management, and database scaling.
Also Read: 10 AWS Skills Required to Supercharge Your Career
This powerhouse is more than just a database; it's a robust relational database running its own engine adapted from PostgreSQL. While it might come with a higher price tag and a bit of complexity, its capabilities are unmatched. No wonder it’s become the go-to choice for tens of thousands of customers, making it the most popular database on AWS.
Amazon Aurora is fully compatible with MySQL and PostgreSQL and is built for the cloud. This powerhouse of a relational database works up to five times faster than standard MySQL databases and up to three times quicker than typical PostgreSQL options. With features like automatic replication stretching across multiple Availability Zones, it offers reliability, scalability, and high performance.
Aurora databases are created within an Amazon Virtual Private Cloud (VPC) that allows users to quarantine a database for use solely within their network for extra security.
A key-value database is a type of NoSQL database where the method of having a value attached to a key is used to store data. Typically, meaning the data is composed of two elements:
AWS provides the following key-value database service:
Amazon DynamoDB is an exceptional, fully managed NoSQL database service offering seamless scalability and low-latency performance. It is tailor-made for applications demanding high throughput and quick response times. With the ability to handle more than 10 trillion requests per day at peaks of more than 20 million requests per second, Amazon DynamoDB is an extremely powerful platform for querying data.
This database relies primarily on a computer’s main memory for data storage, keeping all the information directly in RAM. Hence, every time a user accesses the data, only the main memory is accessed and not any disk—harnessing the incredible speed of the main memory instead of relying on slower disk storage. This makes in-memory databases gain immense popularity. AWS provides the following in-memory database service:
Amazon ElastiCache is a managed caching solution that runs in-memory and is compatible with popular open-source technologies such as Redis and Memcached. It offers a platform that allows for rapid information retrieval managed in an in-memory system without the delays associated with relying on disk-based databases.
ElastiCache is used to enhance the performance of applications by caching frequently accessed data. It takes the hassle out of management, enabling users to skip the patching, provisioning, and recovery and instead focus on building amazing applications.
The other specialised databases by AWS include:
Now that we’ve explored the various databases, let’s dive into choosing the AWS database that suits your needs.
When selecting the most suitable database for a project, businesses should assess their desired level of usability and choose a service based on its functionality. Here are the steps involved:
With a wide array of database engines available for various purposes, you can be assured of strong performance, regardless of the engine chosen. What matters most is the functionality; it depends on the business requirement—whether the priority is fast data storage, quick querying, or good dependability and data structure.
Also Read: Become an AWS Cloud Practitioner: Your Complete Guide
No matter what you are working with—structured, semi-structured, or unstructured data—AWS offers the necessary flexibility to create high-performing applications. Its features, like automated backups, global replication, high availability, and integrated security, enable organisations to concentrate on innovation rather than infrastructure management.
Key benefits of AWS database services include:
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