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Amazon Relational Database Service

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What is Amazon Relational Database Service?











Amazon Aurora provides unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility at 1/10th the cost of commercial databases. You can enjoy enhanced capabilities that delight your users, such as Amazon Aurora Serverless for scaling up to hundreds of thousands of transactions in a fraction of a second, price predictability with Amazon Aurora I/O-Optimized, and analytics on your transactional data in near real time with zero-ETL integrations to Amazon Redshift.



2. Building generative AI applications:



You can improve your generative AI applications' performance with Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL. With the combined power of Amazon Aurora Optimized Reads and pgvector_hnsw, you are able to achieve 20x improved queries per second as compared to pgvector_IVFFLAT.



3. Analytics and ML with zero-ETL integrations:





Amazon RDS provides flexible deployment options. Amazon Relational Database Service (Amazon RDS) Custom provides a managed experience for applications that require customization of the underlying operating system and database environment. With Amazon Relational Database Service (Amazon RDS) on AWS Outposts, you can deploy fully managed database instances in your on-premises environments.






Use cases



1. Build web and mobile applications:



Support growing apps with high availability, throughput, and storage scalability. Take advantage of flexible pay-per-use pricing to suit various application usage patterns.



2. Move to managed databases:



Innovate and build new apps with Amazon RDS instead of worrying about self-managing your databases, which can be time consuming, complex, and expensive.



3. Break free from legacy databases:



Free yourself from expensive, punitive, commercial databases by migrating to Aurora. When you migrate to Aurora, you get the scalability, performance, and availability of commercial databases at 1/10th the cost.






Customers



1. Intuit Mint



Intuit Mint reduced database costs by 25% with Amazon Relational Database Service (Amazon RDS) for MySQL



2. Cathay Pacific Airways



Cathay Pacific airways saw a 20% performance boost by migrating from on-premises Oracle to Amazon RDS



3. Samsung



Samsung migrated 1.1 billion users from Oracle to Aurora with AWS Database Migration Service (Amazon DMS)

Read the case study






Conclusion



Amazon Relational Database Service (RDS) is a powerful managed service by AWS that simplifies the setup, operation, and scaling of relational databases in the cloud. It supports multiple database engines and automates critical tasks, allowing developers to focus on building applications rather than managing databases. Amazon RDS offers benefits such as easy management, customizable performance, high availability and durability, security and compliance, high scalability, cost-effectiveness, and developer productivity. It integrates seamlessly with AI and ML services and provides flexible deployment options. Notable customers like Intuit Mint, Cathay Pacific Airways, and Samsung have successfully leveraged Amazon RDS to reduce costs and improve performance.

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