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  2. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Cubes (OLAP server) is another lightweight open-source toolkit implementation of OLAP functionality in the Python programming language with built-in ROLAP. ClickHouse is a fairly new column-oriented DBMS focusing on fast processing and response times. DuckDB [32] is an in-process SQL OLAP [33] database management system.

  3. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    Mondrian OLAP server: Jira: Open Oracle Database OLAP Option: myOracle Support: Closed SAP NetWeaver BW: OSS: Closed SAS OLAP Server: Support: Closed StarRocks StarRocks– Github Issues: StarRocks Roadmap: Open

  4. Mondrian OLAP server - Wikipedia

    en.wikipedia.org/wiki/Mondrian_OLAP_server

    Mondrian is an open source OLAP (online analytical processing) server, written in Java. It supports the MDX (multidimensional expressions) query language and the XML for Analysis and olap4j interface specifications. It reads from SQL and other data sources and aggregates data in a memory cache. Mondrian is used for:

  5. Online transaction processing - Wikipedia

    en.wikipedia.org/wiki/Online_transaction_processing

    OLTP is often integrated into service-oriented architecture (SOA) and Web services. Online transaction processing (OLTP) involves gathering input information, processing the data and updating existing data to reflect the collected and processed information. As of today, most organizations use a database management system to support OLTP.

  6. Operational database - Wikipedia

    en.wikipedia.org/wiki/Operational_database

    Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.

  7. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Row-oriented benefits from fast insertion of a new row. Column-oriented benefits from fast insertion of a new column. This dimension is an important reason why row-oriented formats are more commonly used in Online transaction processing (OLTP), as it results in faster transactions in comparison to column-oriented.

  8. Cubes (OLAP server) - Wikipedia

    en.wikipedia.org/wiki/Cubes_(OLAP_server)

    OLAP and aggregated browsing (default is ROLAP) logical model of OLAP cubes in JSON or provided from external sources; hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region) multiple hierarchies in a dimension; arithmetic expressions for computing derived measures and aggregates

  9. 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 .