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  2. Amazon Kinesis - Wikipedia

    en.wikipedia.org/wiki/Amazon_Kinesis

    Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]

  3. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    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.

  4. Amazon Relational Database Service - Wikipedia

    en.wikipedia.org/wiki/Amazon_Relational_Database...

    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 ]

  5. Timeline of Amazon Web Services - Wikipedia

    en.wikipedia.org/.../Timeline_of_Amazon_Web_Services

    Amazon releases Amazon Kinesis, a service for real-time processing of streaming data. [77] [78] 2013: December 18: Regional diversification: AWS launches in China, with a limited preview of its Beijing region. [79] [80] However, due to Internet censorship in China, its China data center is not part of the global AWS network. Rather, it is a ...

  6. Real-time database - Wikipedia

    en.wikipedia.org/wiki/Real-time_database

    Real-time database has two meanings. The most common use of the term refers to a database system which uses streaming technologies to handle workloads whose state is constantly changing. [1] This differs from traditional databases containing persistent data, mostly unaffected by time.

  7. Dynamo (storage system) - Wikipedia

    en.wikipedia.org/wiki/Dynamo_(storage_system)

    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]

  8. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record. [2]: 32 It is intended for ingesting and processing timestamped events that are appended to existing events rather than overwriting them. State is determined from the natural time-based ordering of the data.

  9. Amazon S3 - Wikipedia

    en.wikipedia.org/wiki/Amazon_S3

    Amazon S3 Express One Zone is a single-digit millisecond latency storage for frequently accessed data and latency-sensitive applications. It stores data only in one availability zone. [17] Amazon S3 Standard-Infrequent Access (Standard-IA) is designed for less frequently accessed data, such as backups and disaster recovery data.

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