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  2. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    OLAP server Company Website Latest stable version Software license License pricing Apache Doris Apache Software Foundation [1]1.2.3 Apache 2.0: free

  3. Apache Druid - Wikipedia

    en.wikipedia.org/wiki/Apache_Druid

    The name Druid comes from the shapeshifting Druid class in many role-playing games, to reflect that the architecture of the system can shift to solve different types of data problems. Druid is commonly used in business intelligence-OLAP applications to analyze high volumes of real-time and historical data. [4]

  4. Comparison of streaming media software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_streaming...

    Wowza Streaming Engine: Wowza Media Systems 2007-02-17 4.8.5 build 20200616153358 (2020-06-17) [2] 2020-06-17 Free Developer and Trial licenses; Subscription Licenses at $125/month; [3] Perpetual Pro License at $1995; Amazon EC2 with embedded license starting at $0.15/hour proprietary: Audio/Video/Data

  5. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    In computing, online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [2]

  6. Online transaction processing - Wikipedia

    en.wikipedia.org/wiki/Online_transaction_processing

    The term "transaction" can have two different meanings, both of which might apply: in the realm of computers or database transactions it denotes an atomic change of state, whereas in the realm of business or finance, the term typically denotes an exchange of economic entities (as used by, e.g., Transaction Processing Performance Council or commercial transactions.

  7. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...