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  2. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    An embeddable, in-process, column-oriented SQL OLAP RDBMS Databend Rust An elastic and reliable Serverless Data Warehouse InfluxDB: Rust Time series database: Greenplum Database C Support and extensions available from VMware. MapD: C++ MariaDB ColumnStore C & C++ Formerly Calpont InfiniDB: Metakit: C++ MonetDB: C

  3. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    The choice of data orientation is a trade-off and an architectural decision in databases, query engines, and numerical simulations. [1] As a result of these tradeoffs, row-oriented formats are more commonly used in Online transaction processing (OLTP) and column-oriented formats are more commonly used in Online analytical processing (OLAP). [2]

  4. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    in-memory optimized column-oriented relational database management system (RDBMS) written in C with an SQL top-level interface and ODBC, JDBC drivers MySQL NDB Cluster: MySQL: 1997 Dual license open source(GNU-GPLv2) and optional proprietary Highly available distributed real-time in-memory NoSQL database.

  5. DuckDB - Wikipedia

    en.wikipedia.org/wiki/DuckDB

    DuckDB is an open-source column-oriented relational database management system (RDBMS). [1] It is designed to provide high performance on complex queries against large databases in embedded configuration, [2] such as combining tables with hundreds of columns and billions of rows.

  6. C-Store - Wikipedia

    en.wikipedia.org/wiki/C-Store

    C-Store is a database management system (DBMS) based on a column-oriented DBMS developed by a team at Brown University, Brandeis University, Massachusetts Institute of Technology and the University of Massachusetts Boston including Michael Stonebraker, Stanley Zdonik, and Samuel Madden.

  7. Database design - Wikipedia

    en.wikipedia.org/wiki/Database_design

    Database design is the organization of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. [1] A database management system manages the data accordingly.

  8. ClickHouse - Wikipedia

    en.wikipedia.org/wiki/ClickHouse

    True column-oriented DBMS. Nothing is stored with the values. For example, constant-length values are supported to avoid storing their length "number" next to the values. Linear scalability. It's possible to extend a cluster by adding servers. Fault tolerance. The system is a cluster of shards, where each shard is a group of replicas.

  9. Outline of databases - Wikipedia

    en.wikipedia.org/wiki/Outline_of_databases

    The following is provided as an overview of and topical guide to databases: Database – organized collection of data, today typically in digital form. The data are typically organized to model relevant aspects of reality (for example, the availability of rooms in hotels), in a way that supports processes requiring this information (for example, finding a hotel with vacancies).