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Journal articles on the topic 'NOSQL MySQL'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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K, Meghaa. "Development of a Lightweight Employee Information System using Java and MySQL: A Backend Optimization Perspective." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02977.

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The Increasing demand for enterprise data systems has led to continuous use of relational databases and traditional programming platforms like java. This paper presents the development of lightweight Information management system using java, JDBC and MySQL. The project focuses on data filtering, indexing and backend performance using SQL queries. Despite of the growing popularity of NoSQL and ORM tools, this paper highlights the value of direct SQL execution for better control, performance and educational clarity. The Benchmarked results demonstrate improvements in data retrieval speed using i

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Győrödi, Cornelia A., Diana V. Dumşe-Burescu, Doina R. Zmaranda, and Robert Ş. Győrödi. "A Comparative Study of MongoDB and Document-Based MySQL for Big Data Application Data Management." Big Data and Cognitive Computing 6, no. 2 (2022): 49. http://dx.doi.org/10.3390/bdcc6020049.

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In the context of the heavy demands of Big Data, software developers have also begun to consider NoSQL data storage solutions. One of the important criteria when choosing a NoSQL database for an application is its performance in terms of speed of data accessing and processing, including response times to the most important CRUD operations (CREATE, READ, UPDATE, DELETE). In this paper, the behavior of two of the major document-based NoSQL databases, MongoDB and document-based MySQL, was analyzed in terms of the complexity and performance of CRUD operations, especially in query operations. The m

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Jia, Xin Wei, and Gui Cheng Shen. "Research on Relational Database and NoSQL Based on XML Data." Applied Mechanics and Materials 713-715 (January 2015): 2329–34. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2329.

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With the rapid development of electronic commerce, huge transaction data is produced every day. How to store these data effectively and mine knowledge from these data has become the key urgent problem to solve. This paper first introduces the NO_SQL database MongoDB and its advantages. Then we have a compare on writing and reading performance between MogoDB and MySQL when storing XML document. Finally we have a conclusion that MongoDB has higher performance than MySQL by experiment, and No-SQL is a good choice when querying in massive data.

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Hussein, Dana Lattef. "Evaluating Aggregate Functions and Machine Learning Integration: A Comparative Analysis of Performance, Security, and NoSQL Connectivity in Oracle, SQL Server, and MySQL." UHD Journal of Science and Technology 8, no. 2 (2024): 7–23. http://dx.doi.org/10.21928/uhdjst.v8n2y2024.pp7-23.

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This paper is a comparison study on aggregate functions and windows function between the three major Relational Database Management Systems (RDBMSs): Oracle, SQL Server, and MySQL. These functions are essential to handle a huge data set and prepare it for effective analysis. The research is conducted to analyse the performance of these systems, their utilization of resources, while executing aggregate queries. Further, this paper examines the integration of machine-learning abilities and NoSQL database connectivity within these platforms. All these were measured under a constant benchmarking f

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Andrianto, Lifan Dwinur, and Dwi Fatrianto Suyatno. "Analisis Performa Load Testing Antara Mysql Dan Nosql Mongodb Pada RestAPI Nodejs Menggunakan Postman." Journal of Emerging Information System and Business Intelligence (JEISBI) 5, no. 1 (2024): 18–26. https://doi.org/10.26740/jeisbi.v5i1.58157.

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With the rapid development of technology, especially in the industrial sector and the widespread use of the internet in Indonesia, effective data storage media is needed. Like MySQL, database management systems (DBMS) have become an effective solution for managing and processing data. As a type of DBMS, MySQL has demonstrated the ability to support application development by both experienced and novice users. On the other hand, in the ever-evolving digital era, web and mobile applications have become important, and Node.js and REST APIs have become the basis for creating effective web applicat

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Nakhare, Disha. "A Comparative study of SQL Databases and NoSQL Databases for E-Commerce." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 409–12. http://dx.doi.org/10.22214/ijraset.2021.39263.

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Abstract: With the advent of E-Commerce, businesses persistently examine various ways to improvise and accomplish their demands with web engineering that provide notable resolution. The progress in economic status demands colossal databases that store the data efficiently. The databases currently used are relational or non-relational. Both these types have their benefits and limitations that influence the overall processing of data. Non-relational databases are referred to as NoSQL-not only SQL, and Relational databases are known as SQL-Structured Query Language. It has been suggested in many

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Daud Pujas, Muhammad Sofyan, Muh Ikhsan Amar, Muhammad Erwin Arif, and Muhammad Mukram Mustamin. "Pengukuran Kinerja Database SQL dan NoSQL Pada Aplikasi E-Commerce." Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) 9, no. 1 (2024): 12–15. https://doi.org/10.33772/jfe.v9i1.165.

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Penelitian ini bertujuan untuk melakukan analisis performa dan skalabilitas kinerja database SQL dan noSQL yang digunakan untuk mengelola dan menyimpan data bagi aplikasi e-commerce. Analisis ini dilakukan untuk menentukan database yang sesuai untuk aplikasi e-commerce, terutama pada permasalahan yang berkaitan dengan peningkatan beban kerja berlebihan, pertumbuhan data yang meningkat signifikan, hingga bentuk transaksi data yang semakin kompleks. Pengujian dilakukan secara komprehensif dengan metode pendekatan eksperimental yang mengimplementasikan read dan write terhadap kedua jenis database

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Panwar, Avnish. "Data migration from SQL to NoSQL using snapshot- Livestream migration." Mathematical Statistician and Engineering Applications 70, no. 2 (2021): 1600–1608. http://dx.doi.org/10.17762/msea.v70i2.2450.

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The process of moving data from a source database to a destination database is known as data migration. For a variety of reasons, including higher data handling capacity, improved speed, and scalability, many businesses are choosing to convert their databases from one kind (e.g., RDBMS) to another (e.g., NoSQL). Sqoop [3], mongoimport [2], and mongify [1] are a few techniques and technologies that have been developed to help with this transition from RDBMS to NoSQL databases. NoSQL databases use different models, as opposed to the relational model employed by RDBMS, including document, graph,

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Jose, Benymol, and Sajimon Abraham. "Performance analysis of NoSQL and relational databases with MongoDB and MySQL." Materials Today: Proceedings 24 (2020): 2036–43. http://dx.doi.org/10.1016/j.matpr.2020.03.634.

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Nandy Naufal, Siti Nurkhodijah, Gregian Bayu Anugrah, et al. "COMPARISONAL ANALYSIS OF MYSQL AND MONGODB RESPONSE TIME QUERY PERFORMANCE." Jurnal Informatika Dan Tekonologi Komputer (JITEK) 2, no. 2 (2022): 158–66. http://dx.doi.org/10.55606/jitek.v2i2.245.

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Query is the ability to display and or request data that is used to access data in the database system by using certain commands. Where a data obtained from one or more tables in the database according to what the user needs. The data can also interact with other data or tables with the aim of making it easier for the user to use it. The query response time is one of the considerations for testing databases. This journal will discuss two types of databases, namely MySQL (SQL) and MongoDB (NoSQL). Due to the increasing demand for data, data processors are competing to provide the right database

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Deepa, Suresh Wahane, and Mayuri Dhondiba Dendge Prof. "Analysis on NoSQL MongoDB Tool." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 1077–81. https://doi.org/10.31142/ijtsrd13089.

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The Relational Database System is basic database used from many decades. Since Mysql, Oracle are used for relational kind of databases but Nowadays structure of data has been changed. The problem of Data storage has been raised. Different form of data is available i.e. multimedia databases which is difficult to store. MongoDb can be future alternative for Relational Database. This paper gives overview of NoSQL database MongoDb. This paper is evaluation of NoSQL classification, features and benefits. This paper include Case study on MongoDb which consists of MongoDB web Shell, Architecture and

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Arif, Dashne Raouf, and Nzar Abdulqadir Ali. "Improving the performance of big data databases." Kurdistan Journal of Applied Research 4, no. 2 (2019): 206–20. http://dx.doi.org/10.24017/science.2019.2.20.

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Real-time monitoring systems utilize two types of database, they are relational databases such as MySQL and non-relational databases such as MongoDB. A relational database management system (RDBMS) stores data in a structured format using rows and columns. It is relational because the values of the tables are connected. A non-relational database is a database that does not adopt the relational structure given by traditional. In recent years, this class of databases has also been referred to as Not only SQL (NoSQL). This paper discusses many comparisons that have been conducted on the execution

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Basant, Namdeo, and Suman Ugrasen. "A Middleware Model for SQL to NoSQL Query Translation." Indian Journal of Science and Technology 15, no. 16 (2022): 718–28. https://doi.org/10.17485/IJST/v15i16.2250.

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Abstract <strong>Objectives:</strong> To propose a suitable model for RDBMS SQL to NoSQL query translation, which works as a middleware between legacy applications and the NoSQL database. This model is expected to translate the SQL queries into NoSQL queries, and forward them to the NoSQL database for execution, and after the execution, the result received from NoSQL should be transferred to the legacy application.<strong> Methods:</strong> The proposed model is implemented in Java programming language for MySQL (RDBMS) to MongoDB document database query translation. The prototy

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Gupta, Sangeeta, and Narsimha Narsimha. "Performance Evaluation of Nosql-Cassandra over Relational Data Store-Mysql for Bigdata." International Journal of Technology 6, no. 4 (2015): 640. http://dx.doi.org/10.14716/ijtech.v6i4.1557.

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Sudarsono, Dibyo, Mutiara Dwi Anggraini, Christina Andriyani, et al. "PERBANDINGAN PERFORMANSI ANTARA MONGODB DAN MARIADB." Jurnal Informatika Komputer, Bisnis dan Manajemen 19, no. 2 (2023): 1–11. http://dx.doi.org/10.61805/fahma.v19i2.54.

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Along with the use of information technology in almost all sectors of life, making databases has a very important role in being able to store and process large amounts of data effectively, and high performance is required when processing the database. The Nosql database is widely used in managing very large amounts of data besides that it is also an open source database, but so far many still use the mysql database which is an open source DBMS and has many communities. This paper will compare the performance between a relational database that stores structured data (Sql) and a database with a

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Mumtahana, Hani Atun. "Optimization of Transaction Database Design with MySQL and MongoDB." SinkrOn 7, no. 3 (2022): 883–90. http://dx.doi.org/10.33395/sinkron.v7i3.11528.

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Database is one of the most important parts in running an application. Databases can be used to store data. However, in running an application, the selection of an appropriate database needs to be considered, so that the resulting information can be in accordance with user needs. In developing applications, more people use RDBMS design which has a very structured nature, but technological developments have introduced NoSQL as a database development method. In this research, MySQL and MongoDB databases will be tested in transaction processing. The tests carried out include comparisons of databa

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Egunov, V. A., V. S. Surin, P. S. Stupnitskiy, and R. D. Akhmetova. "Research on the effectiveness of data compression methods in relational and NoSQL DBMS." Herald of Dagestan State Technical University. Technical Sciences 51, no. 1 (2024): 87–94. http://dx.doi.org/10.21822/2073-6185-2024-51-1-87-94.

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Objective. The research presented in the paper is aimed at studying the effectiveness of modern DBMSs.Method. Along with traditional relational solutions, NoSQL-based DBMSs are becoming increasingly popular. This is primarily due to the ability of such systems to store and process huge volumes of data. At the same time, to work effectively with this data, it is necessary to ensure its compression. Compression allows you to reduce the amount of stored data and provide quick access to it.Result. A comparative analysis of data compression in the MySQL and OpenSe DBMS was performed.Conclusion. Dat

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Likhachev, Ilya Vyacheslavovich. "Solving the problem of storing trajectories of molecular dynamics in a DBMS." Proceedings of the Institute for System Programming of the RAS 34, no. 1 (2022): 161–72. http://dx.doi.org/10.15514/ispras-2022-34(1)-12.

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The paper solves the problem of storing molecular dynamics trajectories in relational and non-relational databases. The traditional approach to organizing the structure of relational tables is not suitable for storing trajectories due to the appearance of a large number of records in one table. It is described how best to place data in the NoSQL class DBMS. These ideas are then transferred to the MySQL relational DBMS.

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Al Maamari, Sanda Rashid Salim, and Mohammad Nasar. "A Comparative Analysis of NoSQL and SQL Databases: Performance, Consistency, and Suitability for Modern Applications with a Focus on IoT." East Journal of Computer Science 1, no. 2 (2025): 10–15. https://doi.org/10.63496/ejcs.vol1.iss2.76.

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The rapid expansion of data-intensive technologies, such as big data analytics, cloud computing, real-time processing, and the Internet of Things (IoT), has pushed traditional relational database management systems (RDBMS) like MySQL beyond their limits, leading to the adoption of NoSQL databases such as MongoDB, Cassandra, Redis, and CouchDB. These NoSQL systems offer superior scalability, flexibility, and performance for managing large, diverse datasets, especially those generated by IoT environments, though they often sacrifice strict consistency and introduce complexities absent in SQL dat

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Béjar-Martos, Juan A., Antonio J. Rueda-Ruiz, Carlos J. Ogayar-Anguita, Rafael J. Segura-Sánchez, and Alfonso López-Ruiz. "Strategies for the Storage of Large LiDAR Datasets—A Performance Comparison." Remote Sensing 14, no. 11 (2022): 2623. http://dx.doi.org/10.3390/rs14112623.

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The widespread use of LiDAR technologies has led to an ever-increasing volume of captured data that pose a continuous challenge for its storage and organization, so that it can be efficiently processed and analyzed. Although the use of system files in formats such as LAS/LAZ is the most common solution for LiDAR data storage, databases are gaining in popularity due to their evident advantages: centralized and uniform access to a collection of datasets; better support for concurrent retrieval; distributed storage in database engines that allows sharding; and support for metadata or spatial quer

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Nikitina, T. S., та О. I. Morozova. "ПОРІВНЯЛЬНИЙ АНАЛІЗ ПРОДУКТИВНОСТІ БАЗ ДАНИХ SQL ТА NOSQL". Системи управління, навігації та зв’язку. Збірник наукових праць 1, № 53 (2019): 125–28. http://dx.doi.org/10.26906/sunz.2019.1.125.

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В роботі було проведено короткий аналіз функцій баз даних SQL та NoSQL, були приведені їх основні відмінності. На сьогоднішній день існують два найбільш поширених типу систем управління даними: реляційні бази даних та NoSQL. Існує величезне різноманіття моделей даних та API (Application Programming Interface) запитів для NoSQL. Зокрема для порівняння були обрані Apache Cassandra, DynamoDB, MongoDB. Модель даних та функціональність Apache Cassandra має схожість з іншими масштабованими сховищами. Оновлення та угруповання стовпців кешується в оперативній пам'яті, після чого скидаються на диск. Ос

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Matcha, Sasibhushana, and Dr Reeta Mishra. "Database Selection and Management: Choosing the Right Database (SQL vs. NoSQL) for Your Application." International Journal of Research in Humanities and Social Sciences 13, no. 3 (2025): 68–88. https://doi.org/10.63345/ijrhs.net.v13.i3.5.

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Database selection and management are critical factors in the design and optimization of software applications. Choosing the right database system, whether SQL or NoSQL, significantly impacts the performance, scalability, and maintainability of the application. SQL (Structured Query Language) databases, such as MySQL and PostgreSQL, are traditionally used in applications that require a well-defined schema, data integrity, and complex querying capabilities. These relational databases excel in handling structured data with predefined relationships, ensuring ACID (Atomicity, Consistency, Isolatio

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Zmaranda, Doina R., Cristian I. Moisi, Cornelia A. Győrödi, Robert Ş. Győrödi, and Livia Bandici. "An Analysis of the Performance and Configuration Features of MySQL Document Store and Elasticsearch as an Alternative Backend in a Data Replication Solution." Applied Sciences 11, no. 24 (2021): 11590. http://dx.doi.org/10.3390/app112411590.

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In recent years, with the increase in the volume and complexity of data, choosing a suitable database for storing huge amounts of data is not easy, because it must consider aspects such as manageability, scalability, and extensibility. Nowadays, the NoSQL databases have gained immense popularity for their efficiency in managing such datasets compared to relational databases. However, relational databases also exhibit some advantages in certain circumstances, therefore many applications use a combined approach: relational and non-relational. This paper performs a comparative evaluation of two p

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Abubakar, Mustapha, Sufiyanu Abubakar, and Umar Muhammad Bello. "Analyzing and Designing an Evaluation Benchmark for SQL and NoSQL Database Systems for some Selected Higher Institution in Zamfara State." International Journal of Science for Global Sustainability 10, no. 2 (2024): 63–67. http://dx.doi.org/10.57233/ijsgs.v10i2.644.

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This research analyzes and designs an evaluation benchmark for SQL and NoSQLdatabase systems, specifically tailored for higher institutions in Zamfara State. By benchmarking various database operations, including insert, select, update, delete, and stored procedures, we identify performance differences between the two systems. MongoDB demonstrates superior performance in handling insert, select, update, and delete operations, making it ideal for applications with high transactional demands. Conversely, MySQL excels in executing stored procedures due to its native support, which is crucial for

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Győrödi, Cornelia A., Diana V. Dumşe-Burescu, Doina R. Zmaranda, Robert Ş. Győrödi, Gianina A. Gabor, and George D. Pecherle. "Performance Analysis of NoSQL and Relational Databases with CouchDB and MySQL for Application’s Data Storage." Applied Sciences 10, no. 23 (2020): 8524. http://dx.doi.org/10.3390/app10238524.

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In the current context of emerging several types of database systems (relational and non-relational), choosing the type and database system for storing large amounts of data in today’s big data applications has become an important challenge. In this paper, we aimed to provide a comparative evaluation of two popular open-source database management systems (DBMSs): MySQL as a relational DBMS and, more recently, as a non-relational DBMS, and CouchDB as a non-relational DBMS. This comparison was based on performance evaluation of CRUD (CREATE, READ, UPDATE, DELETE) operations for different amounts

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Murthy, G. S. N., K. Anshu, T. Srilakshmi, CH Sumanth, and M. Naga Mounika. "AI POWERED TRANSLATOR: TRANSFORMING NATURAL LANGUAGE TO DATABASE QUERIES." International Journal of Engineering Applied Sciences and Technology 09, no. 11 (2025): 39–43. https://doi.org/10.33564/ijeast.2025.v09i11.006.

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In the modern digital landscape, interacting with databases often requires structured query languages SQL or NoSQL syntax, which can be a barrier for non-technical users. This project introduces an intelligent AI-powered system that seamlessly converts natural language questions into executable database queries, bridging the gap between human communication and database management. Leveraging advanced natural language processing (NLP) models, large language models (LLMs), the system dynamically interprets user queries and translates them into optimized SQL or NoSQL commands. Our approach involv

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Rahman, Muhammad Arif, and Lutfi Rahmatuti Maghfiroh. "KAJIAN DATABASE RELASIONAL DAN NONRELASIONAL PADA DATA BPS DALAM MENGHADAPI ERA BIG DATA." Seminar Nasional Official Statistics 2019, no. 1 (2020): 25–30. http://dx.doi.org/10.34123/semnasoffstat.v2019i1.170.

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Big data merupakan tantangan yang perlu dihadapi kedepannya, terutama bagi BPS sebagai badan penyedia data sensus dan survei. Teknologi penyimpanan data seperti MySQL, PostgreSQL, dan lainnya yang merupakan penyimpanan berbasis relasional mempunyai batasan-batasan dalam menghadapi era big data. Untuk mengatasi batasan-batasan yang ada tersebut, kemudian berkembanglah teknologi penyimpanan data berbasis nonrelasional yang dikenal dengan istilah NoSQL Database. Hingga saat ini telah banyak teknologi nonrelational database yang berkembang, contohnya Hadoop dan Couchbase. Perlunya penentuan teknol

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Hussain, Dildar, Mohammad Omar, Khairol Amali Ahmad, Ja’afar Adnan, and Khaleel Ahmad. "Performance Comparison between NoSQL (RethinkDB) and MySQL Database Replication from Master to Slave in Big Data." Jurnal Kejuruteraan si4, no. 2 (2021): 65–69. http://dx.doi.org/10.17576/jkukm-2021-si4(2)-10.

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When database is stored in one computer or server, certain issues related to disaster (in terms of natural or un-natural) problem may arise with reference to geographical connection and geographical distribution of servers. Here, replication feature plays an important role. There were many techniques and methodologies for geographically distributed servers, but the problem was of one master. When an authorized user updates his database on a client database server then this client database server updates his master database server and at last, the master database server updates all its client’s

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Vasudevan Senathi Ramdoss. "Optimizing database queries: Cost and performance analysis." International Journal of Science and Research Archive 2, no. 2 (2021): 293–97. https://doi.org/10.30574/ijsra.2021.2.2.0025.

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Optimizing database query performance is critical for ensuring efficient data management, reducing costs, and improving user experience. Poorly optimized queries can cause slow response times, increased CPU and memory usage, and excessive disk I/O operations, affecting system performance. This paper explores various query optimization techniques, including cost-based analysis, indexing, query rewriting, execution plan analysis, parallel execution, and caching. Additionally, it compares optimization strategies across different database types, including SQL-based relational databases (MySQL, Pos

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Győrödi, Cornelia A., Tudor Turtureanu, Robert Ş. Győrödi, and Doina R. Zmaranda. "Implementing a Synchronization Method between a Relational and a Non-Relational Database." Big Data and Cognitive Computing 7, no. 3 (2023): 153. http://dx.doi.org/10.3390/bdcc7030153.

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The accelerating pace of application development requires more frequent database switching, as technological advancements demand agile adaptation. The increase in the volume of data and at the same time, the number of transactions has determined that some applications migrate from one database to another, especially from a relational database to a non-relational (NoSQL) alternative. In this transition phase, the coexistence of both databases becomes necessary. In addition, certain users choose to keep both databases permanently updated to exploit the individual strengths of each database in or

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Jeelani, Ahmed. "A NOVEL REDIS SECURITY BEST PRACTICES FOR NOSQL DATABASES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 729–36. https://doi.org/10.5281/zenodo.48348.

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In last decades of years the field of databases has emerged. The organizations are migrating towards Non-Relational databases from Relational Databases due to the current trend of Big Data, Big Users and Cloud Computing. Business data processing is the main market of Relational Databases. It turns out to be harder to managing Big Clients and Big information on a cloud domain. To modeling the data these databases uses a rigid and schema based approach and are designed to run on a single machine and NoSQL (Not Only SQL) database provides, flexible data model, dynamic schemas, efficient big data

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Adji, Teguh Bharata, Dwi Retno Puspita Sari, and Noor Akhmad Setiawan. "Relational into Non-Relational Database Migration with Multiple-Nested Schema Methods on Academic Data." IJITEE (International Journal of Information Technology and Electrical Engineering) 3, no. 1 (2019): 16. http://dx.doi.org/10.22146/ijitee.46503.

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The rapid development of internet technology has increased the need of data storage and processing technology application. One application is to manage academic data records at educational institutions. Along with massive growth of information, decrement in the traditional database performance is inevitable. Hence, there are many companies choose to migrate to NoSQL, a technology that is able to overcome the traditional database shortcomings. However, the existing SQL to NoSQL migration tools have not been able to represent SQL data relations in NoSQL without limiting query performance. In thi

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Sudiartha, I. K. G., I. N. E. Indrayana, I. W. Suasnawa, S. A. Asri, and Putu Wijaya Sunu. "Data Structure Comparison Between MySql Relational Database and Firebase Database NoSql on Mobile Based Tourist Tracking Application." Journal of Physics: Conference Series 1569 (July 2020): 032092. http://dx.doi.org/10.1088/1742-6596/1569/3/032092.

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Owuondo, Joseph. "A Comprehensive Health Electronic Record System with MySQL RDMS, QGIS Database and Mongo DB." International Journal of Latest Technology in Engineering, Management & Applied Science XII, no. VIII (2023): 31–38. http://dx.doi.org/10.51583/ijltemas.2023.12904.

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The advancement in data storage systems and novel data types has made organizations to stop relying on the use of simple client/server I.T infrastructure and leverage more on multiple categories of database systems to keep heterogeneous data. The study exploits the benefits around deploying hybrid relational database management systems and NoSQL systems while developing better electronic health records (EHR) systems within health facilities alongside facility decision support system (FDSS). More particularly, GIS, MySQL and Mongo DB databases were integrated to enhance EHR systems alongside of

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Reshma, K.R, Femy P.F Mary, and Mariam Varghese Surekha. "OUTCOME ANALYSIS IN ACADEMIC INSTITUTIONS USING NEO4J." International Journal of Computational Science and Information Technology (IJCSITY) 4, no. 2 (2016): 1–10. https://doi.org/10.5281/zenodo.3698858.

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<strong>ABSTRACT </strong> Databases are an integral part of a computing system and users heavily rely on the services they provide. When interact with a computing system, we expect that data be stored for future use, that the data is able to be looked up fastly, and we can perform complex queries against the data stored in the database. Many different emerging database types available for use such as relational databases, object databases, keyvalue databases, graph databases, and RDF databases. Each type of database provides unique qualities that have applications in certain domains. Our work

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Gerasimov, V. R., and V. V. Dusheba. "Analysis of Optimizing Database Performance Methods." Èlektronnoe modelirovanie 46, no. 6 (2024): 43–54. https://doi.org/10.15407/emodel.46.06.043.

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An in-depth analysis of modern database optimization methods to improve their performance, reliability, and scalability is carried out. The main attention is paid to relational (Oracle, MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis, Cassandra), which are wide-ly used for data management. Key approaches to optimization are discussed, including design-ing efficient database schemas, normalization and denormalization, use of indexes, caching, sharding, and replication. Particular attention is paid to the importance of choosing the right database management system according to the type of

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Kotiranta, Petri, Marko Junkkari, and Jyrki Nummenmaa. "Performance of Graph and Relational Databases in Complex Queries." Applied Sciences 12, no. 13 (2022): 6490. http://dx.doi.org/10.3390/app12136490.

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In developing NoSQL databases, a major motivation is to achieve better efficient query performance compared with relational databases. The graph database is a NoSQL paradigm where navigation is based on links instead of joining tables. Links can be implemented as pointers, and following a pointer is a constant time operation, whereas joining tables is more complicated and slower, even in the presence of foreign keys. Therefore, link-based navigation has been seen as a more efficient query approach than using join operations on tables. Existing studies strongly support this assumption. However,

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Queiroz, Jordan S., Thiago A. Falcão , Phillip M. Furtado, et al. "AMANDA: A Middleware for Automatic Migration between Different Database Paradigms." Applied Sciences 12, no. 12 (2022): 6106. http://dx.doi.org/10.3390/app12126106.

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In a world rich in interconnected and complex data, the non-relational database paradigm can better handle large volumes of data at high speed with a scale-out architecture, which are two essential requirements for large industries and world-class applications. This article presents AMANDA, a flexible middleware for automatic migration between relational and non-relational databases based on a user-defined schema that offers support for multiple sources and target databases. We evaluate the performance of AMANDA by assessing the migration speed, query execution, query performance, and migratio

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Samidi, Samidi, Ronal Yulyanto Suladi, and Ario Bambang Lesmana. "Implementation of Database Distributed Sharding Horizontal Partition in MySQL. Case Study of Application of Food Serving On Kemkes." JURNAL SISFOTEK GLOBAL 12, no. 1 (2022): 50. http://dx.doi.org/10.38101/sisfotek.v12i1.477.

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In today's digital era, database systems are becoming a mandatory thing that is used in every industry field to improve the performance of the industry, over time with the increasing need for databases, single databases and single servers are considered less capable in handling data that continues to increase in number, so it often leads to a decline in performance. Therefore came the idea of centralized data storage that can be modified to accommodate the availability, scalability, reliability, and management of data. One way that can be done is to apply Distribute Database using Sharding Hor

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Reshma, K.R, K.R Reshma, and Mariam Varghese Surekha. "OUTCOME ANALYSIS IN ACADEMIC INSTITUTIONS USING NEO4J." International Journal of Computational Science and Information Technology (IJCSITY) 4, MAY (2016): 1–10. https://doi.org/10.5281/zenodo.3463026.

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ABSTRACT Databases are an integral part of a computing system and users heavily rely on the services they provide. When interact with a computing system, we expect that data be stored for future use, that the data is able to be looked up fastly, and we can perform complex queries against the data stored in the database. Many different emerging database types available for use such as relational databases, object databases, keyvalue databases, graph databases, and RDF databases. Each type of database provides unique qualities that have applications in certain domains. Our work aims to investiga

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