Introduction to Amazon Relational Database System and its use cases

In this recipe, we will learn about Amazon Relational Database System. We will also learn about the use cases of Amazon Relational Database System.

Recipe Objective - Introduction to Amazon Relational Database System and its use cases?

The Amazon Relational Database Service (Amazon RDS) is widely used and is defined as a service that is easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks, such as hardware provisioning, database setup, patching, and backups. It frees users to focus on their applications so users can give them fast performance, high availability, security, and compatibility whenever they need. Amazon Relational Database System(RDS) is further available on several database instance types - optimized for memory, performance, or I/O and provides users with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MariaDB, MySQL, Oracle Database, and SQL Server. Users can use the AWS Database Migration Service to easily migrate or replicate their existing databases to Amazon RDS. Amazon Relational Database Service was first released on the 22 October 2009, supporting MySQL databases and this was followed by support for Oracle Database in June 2011, Microsoft SQL Server in May 2012, PostgreSQL in November 2013 and MariaDB (which is a fork of MySQL) in October 2015 and an additional 80 features during the year 2017. In November 2014, AWS announced Amazon Aurora which is a MySQL-compatible database offering enhanced high availability and performance and in October 2017, a PostgreSQL-compatible database offering was launched. In March 2019, Amazon Web Services announced support of the PostgreSQL 11 in RDS, five months after the official release.

Data Ingestion with SQL using Google Cloud Dataflow

Benefits of Amazon Relational Database System

  • The Amazon Relational Database System runs on the same highly reliable infrastructure used by the other Amazon Web Services and when users provision a Multi-AZ DB Instance, Amazon RDS synchronously replicates the data to a standby instance in the different Availability Zone (AZ). Amazon RDS provides many other features which enhance the reliability of critical production databases, including automated backups, database snapshots, and automatic host replacement and thus it's always available and durable. Amazon RDS engine types allow users to launch one or more Read Replicas to offload read traffic from the user's primary database instance and thus users can scale their database's compute and storage resources with only a few mouse clicks or an API call, often with no downtime ad thus, it's highly scalable. Amazon Relational Database System makes it easy to control network access to user's database and it also lets the user run their database instances in the Amazon Virtual Private Cloud (Amazon VPC), which enables further enables users to isolate their database instances and to connect to their existing IT infrastructure through an industry-standard encrypted IPsec VPN. Many Amazon RDS engine types offer encryption at rest and encryption in transit and thus offers security. Amazon Relational Database System supports the most demanding database applications and users can choose between two SSD-backed storage options i.e. firstly optimized for high-performance OLTP applications, and the other for cost-effective general-purpose use. In addition, Amazon Aurora provides performance on par with commercial databases at 1/10th the cost and thus do operations at a faster speed.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Relational Database System and Use cases of the Amazon Relational Database System.

 

Use cases of Amazon Relational Database System

    • It provides ecommerce applications

Amazon Relational Database System offers small and large e-commerce businesses a flexible, secured, highly scalable, and low-cost database solution for online sales and retailing. Amazon RDS provides a managed database offering helping e-commerce companies meet PCI compliance and focus on building high-quality customer experiences without worrying about managing the underlying database. So, to avoid the complexities of building a new production database from scratch, users turned to Amazon RDS for its new same-day grocery delivery service(for eg.) and the company can now add millions of new items to its database every month and its engineering team can focus on developing new features and improving overall customer experience.

    • It provides Mobile and online games

Amazon Relational Database System manages the database infrastructure so that the game developers don’t have to worry about provisioning, scaling, or monitoring database servers. Also, Mobile and Online games need a database platform with high throughput and availability. Amazon RDS provides familiar database engines which can rapidly grow capacity to meet user demand. So, users(eg. companies) can use Amazon RDS to provide a better performance, lower costs, better security, and greater availability for their arcade, social and mobile games and can see the benefit in terms of reductions in overhead especially when it came to adding, modifying, and removing server resources.

    • It provides Web and mobile applications

Amazon Relational Database System fulfils the needs of such highly demanding applications with room for future growth. Also, web and mobile applications that are built to operate at a very large scale need a database with high throughput, massive storage scalability, and further high availability. Since Amazon RDS do not have any licensing constraints, it perfectly fits the variable usage pattern of these applications. Users(eg. companies) chose Amazon RDS as it simplifies much of the time-consuming administrative tasks typically associated with databases and further can use Multi-Availability Zone (Multi-AZ) deployments to further automate their database replication and augment data durability. Users(eg. companies) can be able to complete their entire database migration to Amazon RDS with only 15 minutes of downtime.

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