PostgreSQL

PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation. An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance. It supports international character sets, multibyte character encodings, Unicode, and it is locale-aware for sorting, case-sensitivity, and formatting. It is highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL systems in production environments that manage in excess of 4 terabytes of data.


References in zbMATH (referenced in 80 articles , 3 standard articles )

Showing results 1 to 20 of 80.
Sorted by year (citations)

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  1. Bertsimas, Dimitris; Digalakis, Vassilis jun.: The backbone method for ultra-high dimensional sparse machine learning (2022)
  2. Ignacy Kaliszewski, Olga Karelkina: IDOL: A web application for mixed integer linear multiobjective optimization (2022) not zbMATH
  3. Wang, Tianyu; Morucci, Marco; Awan, M. Usaid; Liu, Yameng; Roy, Sudeepa; Rudin, Cynthia; Volfovsky, Alexander: FLAME: a fast large-scale almost matching exactly approach to causal inference (2021)
  4. Yu Li, Josh Arnold, Feifan Yan, Weiyan Shi, Zhou Yu: LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing (2021) arXiv
  5. Andrea Arcuri; Juan Pablo Galeotti; Bogdan Marculescu; Man Zhang: EvoMaster: A Search-Based System Test Generation Tool (2020) not zbMATH
  6. Ladroit, Y., Escobar-Flores, P. C., Schimel, A. C. G., O’Driscoll, R. L.: ESP3: An open-source software for the quantitative processing of hydro-acoustic data (2020) not zbMATH
  7. Schnaubelt, Matthias; Fischer, Thomas G.; Krauss, Christopher: Separating the signal from the noise -- financial machine learning for Twitter (2020)
  8. Faruk Diblen, Jisk Attema, Rena Bakhshi, Sascha Caron, Luc Hendriks, Bob Stienen: spot: Open Source framework for scientific data repository and interactive visualization (2019) not zbMATH
  9. Lindsay Rutter, Susan VanderPlas, Dianne Cook, Michelle A. Graham: ggenealogy: An R Package for Visualizing Genealogical Data (2019) not zbMATH
  10. Pierre Lacroix; Frédéric Moser; Antonio Benvenuti; Thomas Piller; David Jensen; Inga Petersen; Marion Planque; Nicolas Ray: MapX: An open geospatial platform to manage, analyze and visualize data on natural resources and the environment (2019) not zbMATH
  11. Studer, Thomas: Relational databases. From theoretical basics to applications with PostgreSQL (2019)
  12. Erwan Bocher, Gwendall Petit, Jérémy Bernard, Sylvain Palominos: A geoprocessing framework to compute urban indicators: The MApUCE tools chain (2018) not zbMATH
  13. Eamonn Maguire, Lukas Heinrich, Graeme Watt: HEPData: a repository for high energy physics data (2017) arXiv
  14. Hirve, Sachin; Palmieri, Roberto; Ravindran, Binoy: HiperTM: high performance, fault-tolerant transactional memory (2017)
  15. Dignös, Anton; Böhlen, Michael H.; Gamper, Johann; Jensen, Christian S.: Extending the kernel of a relational DBMS with comprehensive support for sequenced temporal queries (2016)
  16. Dutt, Anshuman; Haritsa, Jayant R.: Plan bouquets: a fragrant approach to robust query processing (2016)
  17. Gura, Claudiu; Iacob, Nicoleta Magdalena: Open source alternatives for enterprise databases (2016)
  18. Koskinen, Eric; Yang, Junfeng: Reducing crash recoverability to reachability (2016)
  19. Basin, David; Klaedtke, Felix; Marinovic, Srdjan; Zălinescu, Eugen: Monitoring of temporal first-order properties with aggregations (2015)
  20. Basin, David; Klaedtke, Felix; Müller, Samuel; Zălinescu, Eugen: Monitoring metric first-order temporal properties (2015)

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