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  2. Prometheus (software) - Wikipedia

    en.wikipedia.org/wiki/Prometheus_(software)

    The ability to specify an arbitrary list of labels and to query based on these in real time is why Prometheus' data model is called multi-dimensional. [16] [8] [9] Prometheus stores data locally on disk, which helps for fast data storage and fast querying. [8] There is the ability to store metrics in remote storage. [17]

  3. Redis - Wikipedia

    en.wikipedia.org/wiki/Redis

    Redis popularized the idea of a system that can be considered a store and a cache at the same time. It was designed so that data is always modified and read from the main computer memory, but also stored on disk in a format that is unsuitable for random data access.

  4. Apache HBase - Wikipedia

    en.wikipedia.org/wiki/Apache_HBase

    Apache HBase began as a project by the company Powerset out of a need to process massive amounts of data for the purposes of natural-language search. Since 2010 it is a top-level Apache project. Facebook elected to implement its new messaging platform using HBase in November 2010, but migrated away from HBase in 2018. [4]

  5. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    To prevent data loss, DynamoDB features a two-tier backup system of replication and long-term storage. [30] Each partition features three nodes, each of which contains a copy of that partition's data. Each node also contains two data structures: a B tree used to locate items, and a replication log that notes all changes made to the node.

  6. Simple Cloud API - Wikipedia

    en.wikipedia.org/wiki/Simple_Cloud_API

    The Simple Cloud API is a common API for accessing cloud application services offered by multiple vendors. The following services are supported: Storage with adapters for services such as Amazon S3 and Nirvanix [6] Document with adapters for services such as Azure Table Storage and Amazon SimpleDB [7]

  7. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    [6] [7] NoSQL databases are increasingly used in big data and real-time web applications. [8] Motivations for this approach include simplicity of design, simpler "horizontal" scaling to clusters of machines (which is a problem for relational databases), [5] finer control over availability, and limiting the object-relational impedance mismatch. [9]

  8. Real-time computing - Wikipedia

    en.wikipedia.org/wiki/Real-time_computing

    For example, a near-real-time display depicts an event or situation as it existed at the current time minus the processing time, as nearly the time of the live event. [ 12 ] The distinction between the terms "near real time" and "real time" is somewhat nebulous and must be defined for the situation at hand.

  9. Amazon S3 Glacier - Wikipedia

    en.wikipedia.org/wiki/Amazon_S3_Glacier

    Amazon S3 Glacier is an online file storage web service that provides storage for data archiving and backup. [2]Glacier is part of the Amazon Web Services suite of cloud computing services, and is designed for long-term storage of data that is infrequently accessed and for which retrieval latency times of 3 to 5 hours are acceptable.