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Amazon SimpleDB is a distributed database written in Erlang [1] by Amazon.com. It is used as a web service in concert with Amazon Elastic Compute Cloud (EC2) and Amazon S3 and is part of Amazon Web Services. It was announced on December 13, 2007. [2] As with EC2 and S3, Amazon charges fees for SimpleDB storage, transfer, and throughput over the ...
Amazon's developers opted for "just works" design patterns with S3 and SimpleDB. While these systems had noticeable design flaws, they did not demand the overhead of provisioning hardware and scaling and re-partitioning data. Amazon's next iteration of NoSQL technology, DynamoDB, automated these database management operations.
Amazon launches Amazon SimpleDB, which allows businesses, researchers, data analysts, and developers to easily and cheaply process vast amounts of data. It uses a hosted Hadoop framework running on the web-scale infrastructure of EC2 and Amazon S3.
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).
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 ]
SimpleDB (Amazon.com) Document & Key-value Yes Yes (automatic) Yes Unknown likely Erlang Amazon.com Amazon internal only Tarantool: Free-dimensional tuples with primary and secondary keys Yes. (Asynchronous) Yes Yes Yes No C, Lua [26] Memcached, Mnesia, MySQL, Mail.ru: BSD: Project Name Type Persistence Replication High Availability Transactions
Amazon S3 on Outposts brings storage to installations not hosted by Amazon. Amazon S3 Glacier Instant Retrieval is a low-cost storage for rarely accessed data, but which still requires rapid retrieval. Amazon S3 Glacier Flexible Retrieval is also a low-cost option for long-lived data; it offers 3 retrieval speeds, ranging from minutes to hours.
The Amazon Data Lifecycle Manager is an automated mechanism that can back up data from EBS volumes, creating and deleting EBS snapshots on a predefined schedule. [ 8 ] Elastic Volumes makes it possible to adapt volume size to an application's current needs, using Amazon CloudWatch and AWS Lambda to automate volume changes.