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Database querying using SQL
Published in Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton, Texts in Statistical Science, 2017
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
MonetDB and MonetDBLite: open source implementations that are column-based, rather than the traditional row-based systems. Column-based RDBMSs scale better for big data. MonetDBLite is an R package that provides a local experience similar to SQLite.
Database querying using SQL
Published in Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton, Modern Data Science with R, 2021
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
Major implementations of SQL include: Oracle: corporation that claims #1 market share by revenue—now owns MySQL.Microsoft SQL Server: another widespread corporate SQL product.SQLite: a lightweight, open-source version of SQL that has recently become the most widely used implementation of SQL, in part due to its being embedded in Android, the world’s most popular mobile operating system. SQLite is an excellent choice for relatively simple applications—like storing data associated with a particular mobile app—but has neither the features nor the scalability for persistent, multi-user, multi-purpose applications.MySQL: the most popular client-server RDBMS. It is open source, but is now owned by Oracle Corporation, and that has caused some tension in the open-source community. One of the original developers of MySQL, Monty Widenius, now maintains MariaDB as a community fork. MySQL is used by Facebook, Google, LinkedIn, and Twitter.PostgreSQL: a feature-rich, standards-compliant, open-source implementation growing in popularity. PostgreSQL hews closer to the ANSI standard than MySQL, supports more functions and data types, and provides powerful procedural languages that can extend its base functionality. It is used by Reddit and Instagram, among others.MonetDB and MonetDBLite: open-source implementations that are column-based, rather than the traditional row-based systems. Column-based RDBMSs scale better for big data. MonetDBLite is an R package that provides a local experience similar to SQLite.Vertica: a commercial column-based implementation founded by Postgres originator Michael Stonebraker and now owned by Hewlett-Packard.
Integrating memory-mapping and N-dimensional hash function for fast and efficient grid-based climate data query
Published in Annals of GIS, 2021
Mengchao Xu, Liang Zhao, Ruixin Yang, Jingchao Yang, Dexuan Sha, Chaowei Yang
In 2005, the prototype of MonetDB was introduced as a main memory database system uses a column-at-a time execution model for the data warehouse. Although MonetDB is not a native array database but a full-fledged relational DBMS (Idreos et al. 2012), it provided useful thoughts and ideas for processing array models. It is a column-oriented database and each column, or BAT (Binary Association Table), in the database is implemented as a C-array on storage level. (Boncz, Zukowski, and Nes 2005) MonetDB has focused on optimizing the major components of traditional database architecture to make better use of modern hardware in database applications that support analyse massive data volumes (Boncz, Kersten, and Manegold 2008). In 2008, Cornacchia et al. also introduced an example of using a matrix framework with a Sparse Relational Array Mapping (SRAM) by Information Retrieval (IR) researchers, they used MonetDB/X100 as the relational backend, which provided fast response and good precision. The matrix framework is based on the array abstraction, and by mapping them onto the relational model and develop array queries, MonetDB allows them to optimize the performance and developed a high-performance IR application.