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Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [3]
On Demand EC2 instances are priced per hour. An example of this pricing would be $0.096 per hour for a Linux, m5.large, EC2 instance in the us-east-1 region. Pricing will vary based on the instance type, region, and operating system of the instance. Public on-demand pricing for EC2 can be found on the AWS website.
A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.
Amazon DynamoDB is a managed NoSQL database service provided by Amazon Web Services (AWS). It supports key-value and document data structures and is designed to handle a wide range of applications requiring scalability and performance.
A template for the root volume for the instance (for example, an operating system, an application server, and applications) Launch permissions that control which AWS accounts can use the AMI to launch instances; A block device mapping that specifies the volumes to attach to the instance when it's launched
Amazon ElastiCache is a fully managed in-memory data store and cache service by Amazon Web Services (AWS).The service improves the performance of web applications by retrieving information from managed in-memory caches, instead of relying entirely on slower disk-based databases.
Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), [2] to handle large scale data sets and database migrations. [3]
Continuing the previous example, consider two processes, A and B, running the same program. Suppose SimpleDB services requests for data, as described in step 1, from both A and B. A and B see the same value. Let's say that the current value of the counter is 0. Because of steps 2 and 3, A will try to store 1.