Relevant bibliographies by topics / NOSQL MySQL

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'NOSQL MySQL'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "NOSQL MySQL"

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Zhang, Yong Qiang, and Wen Ming Li. "Research and Design of the High-Performance Cluster Architecture Based on the MySQL and NoSQL." Advanced Materials Research 460 (February 2012): 313–16. http://dx.doi.org/10.4028/www.scientific.net/amr.460.313.

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This paper aims at improve the MySQL relational database in the high concurrent read and write to the database, the high efficiency of mass data storage and access, database scalability and high availability aspects of the performance, presents a the High-performance Cluster Architecture Based on the MySQL and NoSQL. Use the MySQL on the advantages of relational data and the NoSQL on the advantages of storage areas for enterprise to save the development costs and maintenance costs. The combination of the MySQL and NoSQL has brought new ideas for the database development of web2.0.
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Halimi, Ahmad, and Ardi Sudarmanto. "ANALISIS PERBANDINGAN KINERJA WAKTU RESPON MYSQL 8.0 DAN NOSQL MONGODB MENGUNAKAN RESTAPI NODEJS PADA STUDI KASUS KELAS ONLINE." Jurnal Informatika Wicida 10, no. 1 (2021): 26–33. http://dx.doi.org/10.46984/inf-wcd.1185.

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Perkembangan teknologi saat ini luar biasa dapat membantu pengguna dalam melakukan perkejaan atau aktivitas sehari-hari yang sudah terealisasikan aplikasi website dan mobile. Salah satu dampak perkembangan teknologi saat ini yakni pembelajaran berbasis online. dalam melakukan penyimpanan kegiatan belajar mengajar sekarang masih mengunakan basis data mysql. Pada penelitian ini akan melakukan perbandingan kinerja waktu respon kepada mysql dan nosql mongodb, sehingga diketahui mana lebih baik pengolahan data. dari basis data tersebut akan dilakukan pengujian CRUD(create read update delete) serta
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Abbas FADHEL, Sameera, and Enas Ali JAMEEL. "A COMPARISON BETWEEN NOSQL AND RDBMS: STORAGE AND RETRIEVAL." MINAR International Journal of Applied Sciences and Technology 04, no. 03 (2022): 172–84. http://dx.doi.org/10.47832/2717-8234.12.18.

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Relational database management systems (RDBMS) emerged as the solution for data storage in the past decades. All data storage systems and applications utilize a RDBMS in the heart of the system to store and retrieve the data. In the past few years a new data storage model, named Not Only Structured Query Language (NOSQL), has emerged to produce less complex data storage systems and to tackle the data's massive volume performance degradation of used systems. In this work, a comparison study is conducted between MySQL as an example of RDBMS and Monogodb as an example of NOSQL systems using threa
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Renu, Chaudhary, and Singh Gagangeet. "A NOVEL TECHNIQUE IN NoSQL DATA EXTRACTION." International Journal of Research – Granthaalayah 1, no. 1 (2017): 51–58. https://doi.org/10.5281/zenodo.884572.

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NoSQL databases (commonly interpreted by developers as „not only SQL databases" and not „no SQL") is an emerging alternative to the most widely used relational databases. As the name suggests, it does not completely replace SQL but compliments it in such a way that they can co-exist. In this paper we will be discussing the NoSQL data model, types of NoSQL data stores, characteristics and features of each data store, query languages used in NoSQL, advantages and disadvantages of NoSQL over RDBMS and the future prospects of NoSQL. Motivation/Background: NoSQL systems exhibit the ability to store
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Tavares, Olivia Maria Inacio, Sartje Mala Rangkoly, Sarah Bunda Desy Bawan, Ema Utami, and Muhammad Syukri Mustafa. "Analisis Perbandingan Performansi Waktu Respons Kueri antara MySQL PHP 7.2.27 dan NoSQL MongoDB." Jurnal Teknologi Informasi 4, no. 2 (2020): 303–13. http://dx.doi.org/10.36294/jurti.v4i2.1695.

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Abstract – Currently now, every function of the governmental and private agencies are required to manage the system work properly, effectively, and certainly efficient in terms of both time and system flexibility. Not a few have used the use of basic management data to help maximize the work system that is being run. This research will be carried out by examining the performance when answering queries between 2 commonly used management database systems, namely the My Structured Query Language (MySQL) relational database and Not-Only SQL (NoSQL) MongoDB non-relational database tested on the Asp
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Rakhmawati, Nur Aini, Muhammad Zuhri, Radityo Prasetianto Wibowo, Anwar Romadhon, Herdy Ardiansyah, and Olive Khoirul. "Benchmarking MySQL and NoSQL Databases on Egovbench Application." Journal of Information Technology and Its Utilization 2, no. 1 (2019): 18. http://dx.doi.org/10.30818/jitu.2.1.2080.

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E-Government is a result of technological advances in the government field. E-government assessment is needed to encourage the development of e-government in a better direction. The e-Government assessment can be measured using the Egovbench application. Egovbench performs crawling to obtain information from related websites or social media. The process of crawling done by Egovbench produces extensive data, which reduced performance in data processing. Therefore, there is a need for a database solution that has the best performance such as high processing speed and small database size. This st
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Matallah, Houcine, Ghalem Belalem, and Karim Bouamrane. "Comparative Study Between the MySQL Relational Database and the MongoDB NoSQL Database." International Journal of Software Science and Computational Intelligence 13, no. 3 (2021): 38–63. http://dx.doi.org/10.4018/ijssci.2021070104.

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NoSQL databases are new architectures developed to remedy the various weaknesses that have affected relational databases in highly distributed systems such as cloud computing, social networks, electronic commerce. Several companies loyal to traditional relational SQL databases for several decades seek to switch to the new “NoSQL” databases to meet the new requirements related to the change of scale in data volumetry, the load increases, the diversity of types of data handled, and geographic distribution. This paper develops a comparative study in which the authors will evaluate the performance
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Dr., Kishor Atkotiya, and Shukla Parag. "Migration from relational database like MySQL to nosql database like Cassandra is necessary and how to migrate it using spark." International Journal of Trend in Scientific Research and Development 1, no. 1 (2016): 27–29. https://doi.org/10.31142/ijtsrd57.

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For more than 15 years, Oracle MySQL has been a real structure piece in web technology and its applications, enjoying large acceptance. This is oftentimes permanently reason MySQL offers a strong database which enables firms to make system that execute comfortably in various use cases. Yet, still its strongest supporters acknowledge that its not architected to appurtenances the new curve of monolithic knowledge application. Dashing businesses that enjoin to control use cases square evaluate delivery to forge a different set of technologies to alternate MySQL. This article examines the why and
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Aftab, Zain, Waheed Iqbal, Khaled Mohamad Almustafa, Faisal Bukhari, and Muhammad Abdullah. "Automatic NoSQL to Relational Database Transformation with Dynamic Schema Mapping." Scientific Programming 2020 (July 1, 2020): 1–13. http://dx.doi.org/10.1155/2020/8813350.

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Recently, the use of NoSQL databases has grown to manage unstructured data for applications to ensure performance and scalability. However, many organizations prefer to transfer data from an operational NoSQL database to a SQL-based relational database for using existing tools for business intelligence, analytics, decision making, and reporting. The existing methods of NoSQL to relational database transformation require manual schema mapping, which requires domain expertise and consumes noticeable time. Therefore, an efficient and automatic method is needed to transform an unstructured NoSQL d
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Silalahi, Mesri. "PERBANDINGAN PERFORMANSI DATABASE MONGODB DAN MYSQL DALAM APLIKASI FILE MULTIMEDIA BERBASIS WEB." Computer Based Information System Journal 6, no. 1 (2018): 63. http://dx.doi.org/10.33884/cbis.v6i1.574.

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Database appeared and began to develop in line with the needs of processing and data storage to meet the information needs. Database is part of an important building block in an information system. In addition to a relational database (SQL), which stores structured datas in tables with defined schemes, there is a non-relational databases (NoSQL) with a dynamic scheme or unstructured. This study will compare the performance between NoSQL database (MongoDB) and SQL database (MySQL) for a web-based multimedia file storage application that stores files as BLOBs. Performance comparison is based on
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Dissertations / Theses on the topic "NOSQL MySQL"

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Wester, Alfred, and Olof Fredriksson. "Jämförelse av Mysql och MongoDb." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2310.

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Speed is a very important factor in websites and other types of applications and almost all applications stores some type of data, normally in a database. For an example a blog typically saves users, posts and comments. There’s a high risk that as the amount of data in the database grows, the time for inserting and requesting specific data increases. If it takes more than some seconds to view a specific page, a user will normally leave the site. However, it’s a fact that the database will grow while the application will become more popular but it’s possible to save a lot of time if using right
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Naess, Mathias. "Jämförelse mellan MySQL och NoSQL vid lagring av användningsdata i microservice-applikation/arkitektur." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19999.

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Microservice-arkitektur är en växande trend inom utvecklingen av applikationer, även lagring av användningsdata. Lagringen av användningsdata sker bland annat i syfte för att öka Quality of service vilket innefattar bland annat tiden vid sidladdning. I rapporten utförs experiment för att mäta påverkan lagringen av användningsdata har på sidladdningstiden och huruvida den påverkan går att mitigera genom optimering av lagring i form av val av databassystem. En Microservice applikation utvecklas med alternativa lagringsstrategier för MongoDB och MySQL vad gäller lagring för användningsdata. Lagri
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Rafique, Ansar. "Evaluating NOSQL Technologies for Historical Financial Data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-193564.

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Today, when businesses and organizations are generating huge volumes of data; the applications like Web 2.0 or social networking requires processing of petabytes of data. Stock Exchange Systems are among the ones that process large amount of quotes and trades on a daily basis. The limited database storage ability is a major bottleneck in meeting up the challenge of providing efficient access to information. Further to this, varying data are the major source of information for the financial industry. This data needs to be read and written efficiently in the database; this is quite costly when i
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Rinhammar, Lisa. "Komplexa sökfrågor i MySQL och MongoDB : En jämförelse av svarstid mellan MySQL och MongoDB när olika komplexa sökfrågor utförs." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19094.

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Denna studie jämför relationsdatabasen MySQL med icke-relationsdatabasen MongoDB när komplexa sökfrågor ställs mot ett dataset som består av över 67 000 rader data. Problemet som uppstår blir att veta vilken av MySQL och MongoDB som presterar bäst och med kortast svarstider. För att ta reda på vilken av databaserna som har kortast svarstider har experiment utförts i en kontrollerad miljö, för att få ett så korrekt resultat som möjligt. Resultatet av experimentet blev att MySQL fick överlag kortast svarstider när komplexa sökfrågor ställdes. När en enkel sökfråga ställdes, fick MySQL och MongoD
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Aslan, David. "Lagring av Motion Capture Data i NoSQL-databser : Undersökning av CouchDB." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11095.

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Motion capture data behöver lagra på ett eller annat sätt lagra detta med databas skulle innebära väldigt många fördelar. Den används på många olika sätt och i olika branscher därmed skulle innebära en stor förändring. Det finns två olika kategorier av databaser SQL databaser och NoSQL databaser, dem databaser som kommer testas är relationsbaserade MySQL och dokumentbaserade CouchDB med en prototyp som utvecklas för att utföra dessa tester. Testerna påvisar att CouchDB är bättre databaslösningen vid lagringen av motion capture data. Men ytterligare arbete skulle kunna utföra flera tester som p
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Vrbík, Tomáš. "Srovnání distribuovaných "NoSQL" databází s důrazem na výkon a škálovatelnost." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124673.

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This paper focuses on NoSQL database systems. These systems currently serve rather as supplement than replacement of relational database systems. The aim of this paper is to compare 4 selected NoSQL database systems (MongoDB, Apache Cassandra, Apache HBase and Redis) with a main focus on performance and scalability. Performance comparison is done using simulated workload in a 4 nodes cluster environment. One relational SQL database is also benchmarked to provide comparison between classic and modern way of maintaining structured data. As the result of comparison I found out that none of these
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Candini, Fabrizio. "Progettazione di database con Mysql e MongoDB: analisi di prestazioni su un caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8939/.

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Analisi di prestazioni di un database costruito con MongoDB e uno con Mysql residenti su due macchine virtuali uguali configurate appositamente per i test di inserimento, interrogazione e eliminazione.
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Linnarsson, Gustaf. "En prestandajämförelse mellan databaskopplingar i R." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11656.

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De traditionella databaserna har sedan länge varit byggda på relationsdatamodellen och skrivna i SQL. Men ju större datamängder det började komma desto mer kapacitet behövdes för att kunna lagra dessa, därför skapades NoSQL. Eftersom det blev sådana stora datamängder så blev det naturligtvis intressant att analysera all data. Men då det är sådana enorma mängde data så är det omöjligt att gå igenom rad för rad. Inom statistik och analys världens så finns det en rad olika hjälpmedel, ett av dessa är R. Den här studien kommer att försöka ta reda på om det finns något databasalternativ som är bätt
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Righi, Massimo. "apache cassandra: studio ed analisi di prestazioni." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16713/.

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La tesi persegue due scopi: il primo è veri�care sperimentalmente l'incremento di performance che si può avere nell'utilizzare un database di tipo NoSql (MongoDB e Cassandra) rispetto a uno relazionale (MYSQL) lavorando con grandi quantità di dati. Il secondo, invece, si propone di confrontare (sempre sperimentalmente) l'utilizzo di due tipi di database della famiglia dei NoSql, ovvero MongoDB, basato su un architettura Document-oriented, e Cassandra (in forte sviluppo), della famiglia dei Column-oriented. Nella prima parte della tesi verranno esposte le caratteristiche tecniche delle due fa
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Bäcklin, Staffan. "Jämförelse av svarstider för olika bilddatabaser för Javabaserade http-servrar." Thesis, Högskolan Väst, Avdelningen för data-, elektro- och lantmäteriteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-9829.

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Denna kandidatuppsats berör databaser i javabaserade bildhanteringssystem där bilderna lagras och hämtas som binära objekt. I MySQL och en del andra databashanterare kallas detta format för Blob(Binary large object). För att bildhanteringssystemet skall fungera bra krävs det att man använder en snabb databas. Syftet har varit att av ett urval databaser utse den databas som är snabbast i avseende på svarstider för hämtning av bilder som lagras som binära objekt i databaser. Databaserna är de fyra välkända databashanterarna MySQL, MariaDB, PostGreSQL och MongoDB. Testerna har utförts med databas
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Books on the topic "NOSQL MySQL"

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Krogh, Jesper Wisborg. MySQL Connector/Python Revealed: SQL and NoSQL Data Storage Using MySQL for Python Programmers. Apress, 2018.

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Mehta, Chintan, Shabbir Challawala, Jaydip Lakhatariya, and Kandarp Patel. MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools. Packt Publishing, 2017.

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Book chapters on the topic "NOSQL MySQL"

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Hollosi, Arno. "MySQL für Fortgeschrittene." In Von Geodaten bis NoSQL: Leistungsstarke PHP-Anwendungen. Carl Hanser Verlag GmbH & Co. KG, 2012. http://dx.doi.org/10.3139/9783446431225.012.

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Krogh, Jesper Wisborg, and Mikiya Okuno. "MySQL NDB Cluster as a NoSQL Database." In Pro MySQL NDB Cluster. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2982-8_19.

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Das, Nabanita, Swagata Paul, Bidyut Biman Sarkar, and Satyajit Chakrabarti. "NoSQL Overview and Performance Testing of HBase Over Multiple Nodes with MySQL." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1498-8_24.

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Prakash, Chandra, Bijesh Dhyani, and Nishtha Lalit. "A Comprehensive Study on Structural and Non-Structural Databases and Its Impact on Hybrid Databases." In Advances in Information Security, Privacy, and Ethics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5298-4.ch018.

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The extreme growing rate of data is an important concern and needs to be managed, which affects the database performance in a business. The relational database management system (RDBMS) is a frequently used database system; however, it fails to manage the performance while handling huge amounts of data. The not only SQL (NoSQL) known for faster performance while handling huge data amount. The NoSQL is an alternate storage option as compared to RDBMS. Through this chapter, a comparative performance analysis of NoSQL and MySQL is given and through this performance comparison the importance of hy
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Chatterjee, Nilanjan, Monu Sharma, Stuti Sood, Mt Shubneet, and Anushka Raj Yadav. "DATABASE MANAGEMENT SYSTEMS." In Intelligent Shields: Artificial Intelligence and Machine Learning for Cybersecurity. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennurasai9.

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This chapter provides a comprehensive overview of database management systems (DBMS), focusing on the relational model, SQL operations, normalization, and modern database tools. We examine the structure and integrity of relational databases, including tables, primary/foreign keys, and ACID properties, and demonstrate SQL for CRUD (Create, Read, Update, Delete) operations and JOIN queries. Normalization is explained through practical examples, detailing the transition from 1NF to 3NF to eliminate redundancies and ensure data integrity. The chapter contrasts relational (MySQL) and NoSQL (MongoDB
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S. Ramalakshmi, Dr. "DATABASES AND DATA WAREHOUSES." In Futuristic Trends in Computing Technologies and Data Sciences Volume 3 Book 2. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgct2p6ch1.

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A database is generally referred as a collection of data organized in a formatted structure for storage, accessibility and retrieval. There are various types of databases which include XML, CSV files, flat files and spreadsheets etc., the main two categories of databases includes data from OLTP (Online Transactional Processing) and OLAP (Online Analytical Processing). Both systems store data in the form of tables, columns, indexes, keys, views and data types. MySQL, Oracle and NoSQL are some query languages used to query the database. In the other side data warehouses are also the types of dat
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HENGEN, R. L. A., and G. D. BIANCO. "SQL E NOSQL: UM ESTUDO COMPARATIVO DE PERFORMANCE ENTRE OS BANCOS DE DADOS MYSQL E MONGODB." In Discussões interdisciplinares: Debates e Discussões entre Ciências Exatas e Naturais – Volume 7. Dialética, 2025. https://doi.org/10.48021/978-65-270-6381-0-c7.

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Conference papers on the topic "NOSQL MySQL"

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Schram, Aaron, and Kenneth M. Anderson. "MySQL to NoSQL." In the 3rd annual conference. ACM Press, 2012. http://dx.doi.org/10.1145/2384716.2384773.

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Rautmare, Sharvari, and D. M. Bhalerao. "MySQL and NoSQL database comparison for IoT application." In 2016 IEEE International Conference on Advances in Computer Applications (ICACA). IEEE, 2016. http://dx.doi.org/10.1109/icaca.2016.7887957.

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Stanescu, Liana, Marius Brezovan, and Dumitru Dan Burdescu. "Automatic Mapping of MySQL Databases to NoSQL MongoDB." In 2016 Federated Conference on Computer Science and Information Systems. IEEE, 2016. http://dx.doi.org/10.15439/2016f45.

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Palanisamy, Sowndarya, and P. SuvithaVani. "A survey on RDBMS and NoSQL Databases MySQL vs MongoDB." In 2020 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2020. http://dx.doi.org/10.1109/iccci48352.2020.9104047.

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Souza, Vanessa, and Marcus Santos. "Amadurecimento, Consolidação e Performance de SGBDs NoSQL - Estudo Comparativo." In XI Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2015. http://dx.doi.org/10.5753/sbsi.2015.5822.

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Presencia-se ultimamente a expansão no número de dados gerados nas mais diversas áreas da computação. O modelo tradicional de banco de dados, chamado relacional não consegue lidar com este crescimento. O NoSQL surge como uma solução para esta problemática. Este trabalho teve por finalidade realizar um estudo sobre a arquitetura de alguns SGBDs NoSQL, evidenciar o motivo pelo qual eles conseguem lidar com grandes volumes de dados e mostrar algumas propriedades que o NoSQL baseia-se para fazer a gestão de dados. Para tanto, os SGBDs Redis e Cassandra foram utilizados e comparados ao banco relaci
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Lee, Chao-Hsien, and Yu-Lin Zheng. "Automatic SQL-to-NoSQL schema transformation over the MySQL and HBase databases." In 2015 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). IEEE, 2015. http://dx.doi.org/10.1109/icce-tw.2015.7216979.

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Reichardt, Mike, Michael Gundall, and Hans D. Schotten. "Benchmarking the Operation Times of NoSQL and MySQL Databases for Python Clients." In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2021. http://dx.doi.org/10.1109/iecon48115.2021.9589382.

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Dopke, Luan, Dinei Rockenbach, and Dalvan Griebler. "Avaliação de Desempenho para Banco de Dados com Genoma em Nuvem Privada." In XXI Escola Regional de Alto Desempenho da Região Sul. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/eradrs.2021.14771.

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Os bancos de dados são ferramentas particularmente interessantes para a manipulação de dados gerados através do sequenciamento de DNA. Este artigo tem como objetivo avaliar o desempenho de três bancos de dados com cargas relacionadas ao sequenciamento de DNA: PostgreSQL e MySQL como bancos de dados relacionais e MongoDB como banco de dados NoSQL. Os resultados demonstram que o PostgreSQL se sobressai aos demais.
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Lawrence, Ramon. "Integration and Virtualization of Relational SQL and NoSQL Systems Including MySQL and MongoDB." In 2014 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2014. http://dx.doi.org/10.1109/csci.2014.56.

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Capris, Ticiana, Pedro Melo, Nuno M. Garcia, Ivan Miguel Pires, and Eftim Zdravevski. "Comparison of SQL and NoSQL databases with different workloads: MongoDB vs MySQL evaluation." In 2022 International Conference on Data Analytics for Business and Industry (ICDABI). IEEE, 2022. http://dx.doi.org/10.1109/icdabi56818.2022.10041513.

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