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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. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    Released in 2016 to analyze data that is updated in real time CrateDB: Java C-Store: C++ The last release of the original code was in 2006; Vertica a commercial fork, lives on. DuckDB: C++ An embeddable, in-process, column-oriented SQL OLAP RDBMS Databend Rust An elastic and reliable Serverless Data Warehouse InfluxDB: Rust Time series database

  4. 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]

  5. ClickHouse - Wikipedia

    en.wikipedia.org/wiki/ClickHouse

    ClickHouse is an open-source column-oriented DBMS (columnar database management system) for online analytical processing (OLAP) that allows users to generate analytical reports using SQL queries in real-time.

  6. Apache Pinot - Wikipedia

    en.wikipedia.org/wiki/Apache_Pinot

    Pinot shares similar features with comparable OLAP datastores, such as Apache Druid. [12] [13] Like Druid, Pinot is a column-oriented database with various compression schemes such as Run Length and Fixed-Bit Length.

  7. Kinetica (software) - Wikipedia

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

    Kinetica is a distributed, memory-first OLAP database developed by Kinetica DB, Inc. Kinetica is designed to use GPUs and modern vector processors to improve performance on complex queries across large volumes of real-time data. Kinetica is well suited for analytics on streaming geospatial and temporal data. [1]

  8. Apache Kylin - Wikipedia

    en.wikipedia.org/wiki/Apache_Kylin

    Apache Kylin is an open source distributed analytics engine designed to provide a SQL interface and multi-dimensional analysis (OLAP) on Hadoop and Alluxio supporting extremely large datasets. It was originally developed by eBay , and is now a project of the Apache Software Foundation .

  9. TiDB - Wikipedia

    en.wikipedia.org/wiki/TiDB

    TiDB (/’taɪdiːbi:/, "Ti" stands for Titanium) is an open-source NewSQL database that supports Hybrid Transactional and Analytical Processing workloads. [3] Designed to be MySQL compatible, it is developed and supported primarily by PingCAP and licensed under Apache 2.0.