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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 ]
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. [2]
AWS DynamoDB: A stateless NoSQL database, eliminates traditional connection pooling, making it inherently scalable and serverless-friendly. This ecosystem of tools and services empowers architects to design highly scalable and efficient applications while minimizing connection management overhead.
Amazon Aurora is a proprietary relational database offered as a service by Amazon Web Services (AWS) since October 2014. [ 1 ] [ 2 ] Aurora is available as part of the Amazon Relational Database Service (RDS).
Dynamo is a set of techniques that together can form a highly available key-value structured storage system [1] or a distributed data store. [1] It has properties of both databases and distributed hash tables (DHTs). It was created to help address some scalability issues that Amazon experienced during the holiday season of 2004. [2]
When the same data is accessed concurrently, a race condition arises, which would result in undetectable data loss. 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.
Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...
The Amazon Neptune SLA policy is designed to offer a monthly uptime percentage greater that of 99.9%, increasing database performance and availability by integrating the engine with a virtual storage based on SSD drives, that are specially made for database workloads. Neptune maintains copies of the user's data in multiple Availability Zones.