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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.
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).
NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL databases ...
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.
The following tables compare general and technical information for a number of relational database management systems.Please see the individual products' articles for further information.
Amazon launches Amazon DynamoDB, a fully managed proprietary NoSQL database service that is offered by Amazon.com as part of the Amazon Web Services portfolio. [59] 2012 April 29 Ecosystem AWS Marketplace is "an online store where customers can find, buy, and quickly deploy software that runs on AWS." [60] [61] 2012: June 11: Product (security)
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]
I/O-intensive NoSQL and relational databases Boot volumes, low-latency interactive apps, dev & test Boot volumes, low-latency interactive apps, dev & test Big data, data warehouses, log processing Colder data requiring fewer scans per day API name io1 gp2 gp3 st1 sc1 Volume size 4 GiB - 16 TiB 1 GiB - 16 TiB 1 GiB - 16 TiB 500 GiB - 16 TiB