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  2. Apache IoTDB - Wikipedia

    en.wikipedia.org/wiki/Apache_IoTDB

    Apache IoTDB is a project initiated by Prof. Jianmin Wang's team in the School of Software at Tsinghua University. [1] In 2011, the team chose to use open source NoSQL technology instead of Oracle for a project with mass machine data management, and noticed the insufficiency of NoSQL in the industrial internet of things (IIoT) scenarios.

  3. RRDtool - Wikipedia

    en.wikipedia.org/wiki/RRDtool

    RRDtool (round-robin database tool) aims to handle time series data such as network bandwidth, temperatures or CPU load. The data is stored in a circular buffer based database , thus the system storage footprint remains constant over time.

  4. Time series database - Wikipedia

    en.wikipedia.org/wiki/Time_series_database

    A time series database is a software system that is optimized for storing and serving time series through associated pairs of time(s) and value(s). [1] In some fields, time series may be called profiles, curves, traces or trends. [ 2 ]

  5. FAME (database) - Wikipedia

    en.wikipedia.org/wiki/FAME_(database)

    During this time, development focused on the time-series-oriented database engine and the 4GL scripting language. Citigroup sold FAME to private investors headed by Warburg Pincus in 1994. Management focused on fixing bugs , developing remote database server access to FAME, and investing in expanding the FAME database engine.

  6. Operational historian - Wikipedia

    en.wikipedia.org/wiki/Operational_historian

    In manufacturing, an operational historian is a time-series database application that is developed for operational process data. [1] Historian software is often embedded or used in conjunction with standard DCS and PLC control systems to provide enhanced data capture, validation, compression, and aggregation capabilities. [2]

  7. TimescaleDB - Wikipedia

    en.wikipedia.org/wiki/TimescaleDB

    TimescaleDB is an open-source time series database [3] [4] [5] developed by Timescale Inc. It is written in C and extends PostgreSQL. [6] [7] TimescaleDB is a relational database [8] and supports standard SQL queries. Additional SQL functions and table structures provide support for time series data oriented towards storage, performance, and ...

  8. Cointegration - Wikipedia

    en.wikipedia.org/wiki/Cointegration

    Cointegration is a crucial concept in time series analysis, particularly when dealing with variables that exhibit trends, such as macroeconomic data. In an influential paper, [1] Charles Nelson and Charles Plosser (1982) provided statistical evidence that many US macroeconomic time series (like GNP, wages, employment, etc.) have stochastic trends.

  9. Order of integration - Wikipedia

    en.wikipedia.org/wiki/Order_of_integration

    In statistics, the order of integration, denoted I(d), of a time series is a summary statistic, which reports the minimum number of differences required to obtain a covariance-stationary series (i.e., a time series whose mean and autocovariance remain constant over time).