Amazon’s Relational Database Service (RDS) is a tool provided by AWS that handles provisioning, patching, backup, recovery, failure detection and repair of your relational database engines. This leaves you with more time to concentrate on your data. The whole idea of RDS is to move your relational database to the cloud. It is easy to set up and operate and is also highly scalable, cost-efficient and saves time.
Both AWS services, Amazon Redshift and Amazon Relational Database Services (RDS) can be used together very effectively, in our latest blog, we are looking to find out the functions and features of both database services will allow the customer to identify the differences and which best meets their requirements.
Amazon Aurora is a relational database engine. It is designed to deliver the speed and reliability of high-end commercial databases in a simple and cost-effective manner. Amazon claims that it delivers up to five times the throughput of standard MySQL running on the same hardware. If you’re already using MySQL software for your database like a huge majority of people, Aurora is compatible with MySQL 5.6. This means that your existing MySQL applications and tools can still run on Aurora with no modification required.
Thousands of customers use Amazon DynamoDB to build popular applications for Gaming, Mobile, Ad-tech, Internet-of-Things and Modern Web applications. Developers all over the world are using Amazon DynamoDB to build applications that take advantage of its ability to provide consistent low-latency performance. Developers enjoy the flexibility provided by DynamoDB’s schema-less model, along with the ability to scale capacity up and down as needed. But we want to ask the question, does DynamoDB have a dependency on Amazon S3?
