MongoDB

MongoDB (from humongous) is a free and open-source cross-platform document-oriented database. Classified as a NoSQL database, MongoDB avoids the traditional table-based relational database structure in favor of JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster. MongoDB is developed by MongoDB Inc. and is free and open-source, published under a combination of the GNU Affero General Public License and the Apache License. As of July 2015, MongoDB was the fourth most widely mentioned database engine on the web, and the most popular for document stores. (wikipedia)


References in zbMATH (referenced in 19 articles , 1 standard article )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Jackson Borchardt; Raymond Dunn; Saul Kato: minimo: a linked data and metadata storage system for small labs (2021) not zbMATH
  2. L. Capocchi, J.F. Santucci: A web-based simulation of discrete-event system of system with the mobile application DEVSimPy-mob (2021) not zbMATH
  3. Brahmia, Zouhaier; Hamrouni, Hind; Bouaziz, Rafik: XML data manipulation in conventional and temporal XML databases: a survey (2020)
  4. Matthew L. Evans; Andrew J. Morris: matador: a Python library for analysing, curating and performing high-throughput density-functional theory calculations (2020) not zbMATH
  5. Schreiner, Geomar A.; Duarte, Denio; Dos Santos Mello, Ronaldo: Bringing SQL databases to key-based NoSQL databases: a canonical approach (2020)
  6. Christine Harvey; R. S. Weigel: Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB (2019) not zbMATH
  7. Botoeva, Elena; Calvanese, Diego; Cogrel, Benjamin; Xiao, Guohui: Expressivity and complexity of MongoDB queries (2018)
  8. Paffenholz, Andreas: \textttpolyDB: a database for polytopes and related objects (2017)
  9. Xu, Kevin H.: A class of bounded functions, a database language and an extended lambda calculus (2017)
  10. Giovanni Pizzi, Andrea Cepellotti, Riccardo Sabatini, Nicola Marzari, Boris Kozinsky: AiiDA: Automated Interactive Infrastructure and Database for Computational Science (2015) arXiv
  11. Jeroen Ooms: The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects (2014) arXiv
  12. Jia, Ming; Wang, Jie: Handling big data of online social networks on a small machine (2014) ioport
  13. Jiang, Wenbin; Zhang, Lei; Liao, Xiaofei; Jin, Hai; Peng, Yaqiong: A novel clustered MongoDB-based storage system for unstructured data with high availability (2014) ioport
  14. Kuznetsov, S.; Poskonin, A.: NoSQL data management systems (2014) ioport
  15. Philip Chen, C. L.; Zhang, Chun-Yang: Data-intensive applications, challenges, techniques and technologies: a survey on big data (2014) ioport
  16. Sattam Alsubaiee, Yasser Altowim, Hotham Altwaijry, Alexander Behm, Vinayak Borkar, Yingyi Bu, Michael Carey, Inci Cetindil, Madhusudan Cheelangi, Khurram Faraaz, Eugenia Gabrielova, Raman Grover, Zachary Heilbron, Young-Seok Kim, Chen Li, Guangqiang Li, Ji Mahn Ok, Nicola Onose, Pouria Pirzadeh, Vassilis Tsotras, Rares Vernica, Jian Wen, Till Westmann: AsterixDB: A Scalable, Open Source BDMS (2014) arXiv
  17. Merelo, J. J.; Mora, A. M.; Fernandes, C. M.; Esparcia-Alcázar, Anna I.: Designing and testing a pool-based evolutionary algorithm (2013) ioport
  18. Chakraborty, Supriyo; Charbiwala, Zainul; Choi, Haksoo; Raghavan, Kasturi Rangan; Srivastava, Mani B.: Balancing behavioral privacy and information utility in sensory data flows (2012) ioport
  19. Wang, Qing: Abstract state machines for data-parallel computing (2012)