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Journal articles on the topic 'Cloud Databases'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Li, Guoliang, Haowen Dong, and Chao Zhang. "Cloud databases." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3758–61. http://dx.doi.org/10.14778/3554821.3554893.

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As database vendors are increasingly moving towards the cloud data service, i.e., databases as a service (DBaaS), cloud databases have become prevalent. Compared with the early cloud-hosted databases, the new generation of cloud databases, also known as cloud-native databases, seek for higher elasticity and lower cost by developing new techniques, e.g., compute-storage disaggregation and the log is the database. To better harness the power of these cloud databases, it is important to study and compare the pros and cons of their key techniques. In this tutorial, we offer a comprehensive survey

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Abadi, Daniel J., Michael Carey, Surajit Chaudhuri, Hector Garcia-Molina, Jignesh M. Patel, and Raghu Ramakrishnan. "Cloud databases." Proceedings of the VLDB Endowment 3, no. 1-2 (2010): 1657. http://dx.doi.org/10.14778/1920841.1921069.

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DZIUBAK, Szymon. "REVIEW OF CLOUD DATABASE BENEFITS AND CHALLENGES." Modern Management Review 28, no. 3 (2023): 7–16. http://dx.doi.org/10.7862/rz.2023.mmr.14.

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The volume of data is increasing rapidly, that is why using cloud computing to store and process data may be inevitable. Providers offer many database services in public cloud that include many types of traditional relational and non-relational databases, as well as special purpose databases. Organizations can then migrate their data to cloud databases, however, decisions makers need to be aware of cloud benefits and challenges. Data in cloud is globally distributed, computing resources can be scaled up or down according to demand, cloud providers guarantee high level of service availability,

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Shekhar Mishra. "Building Scalable Cloud Databases with Database Reliability Engineering." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1322–33. https://doi.org/10.32628/cseit251112125.

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This comprehensive article explores the evolution and implementation of Database Reliability Engineering (DBRE) in cloud environments, focusing on the transformation from traditional database management to modern cloud-based solutions. The article examines key aspects of scalable database architectures, including elastic scalability, serverless solutions, and advanced scaling techniques. The article investigates various strategies for ensuring database reliability, performance optimization, and cost management while addressing challenges in data distribution and consistency maintenance. Throug

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Mohd Ariff, S. A., S. Azri, U. Ujang, and T. L. Choon. "ORGANIZING SMART CITY DATA BASED ON 3D POINT CLOUD IN UNSTRUCTURED DATABASE – AN OVERVIEW." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W3-2022 (December 2, 2022): 87–95. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w3-2022-87-2022.

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Abstract. The concept of the 3D smart city is an integration of smart cities and information technology. One of the data sources of a smart city is point cloud data that are produced from various data acquisition tools such as LiDAR, Terrestrial Laser Scanning, and Unmanned Aerial Vehicle. Due to the large size of point cloud data input, traditional databases could not handle the data efficiently. Alternatively, unstructured databases have become an option. Furthermore, data for smart city applications are considered being complex and large. Storing data in the unstructured database can easily

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S R V Satish, Karuturi. "Database Security Issues and Challenges in Cloud Computing." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 11 (2024): 937–43. http://dx.doi.org/10.17762/ijritcc.v11i11.10396.

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The majority of enterprises have recently enthusiastically embraced cloud computing, and at the same time, the database has moved to the cloud. This cloud database paradigm can lower data administration expenses and free up new business to concentrate on the product that is being delivered. Furthermore, issues with scalability, flexibility, performance, availability, and affordability can be resolved with cloud computing. Security, however, has been noted as posing a serious risk to cloud databases and has been essential in fostering public acceptance of cloud computing. Several security facto

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Li, Feifei. "Modernization of Databases in the Cloud Era: Building Databases that Run Like Legos." Proceedings of the VLDB Endowment 16, no. 12 (2023): 4140–51. http://dx.doi.org/10.14778/3611540.3611639.

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Utilizing cloud for common and critical computing infrastructures has already become the norm across the board. The rapid evolvement of the underlying cloud infrastructure and the revolutionary development of AI present both challenges and opportunities for building new database architectures and systems. It is crucial to modernize database systems in the cloud era, so that next generation cloud native databases may run like legos-they are adaptive, flexible, reliable, and smart towards dynamic workloads and varying requirements. That said, we observe four critical trends and requirements for

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M, RAGHAVENDRA, RAGHAVENDRA PUJAR, and KIRAN KUMAR R. "Cloud Computing Databases: A Literature Review." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–9. https://doi.org/10.55041/isjem00730.

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Abstract—Information Technology industry has been using the traditional relational databases for about 40 years. However, in the most recent years, there was a substantial conversion in the IT industry in terms of commercial applications. Stand-alone applications have been replaced with electronic applications, committed servers with various appropriate servers and devoted storage with system storage. Lower fee, flexibility, the model of pay-as-you-go are the main reasons, which caused the distributed computing are turned into reality. This is one of the most significant revolutions in Informa

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Partha, Sarathi Mohapatra. "Integrating AWS with SQL Databases." International Journal of Research in Engineering & Science ISSN:(P) 2572-4274 (O) 2572-4304 9, no. 2 (2025): 35–59. https://doi.org/10.5281/zenodo.15488890.

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SQL databases have been in use for many years and have become the favorite data management system for many enterprise applications. However, like every other technology, SQL databases have their pros and cons. Even though the benefits of SQL databases may outweigh their shortcomings, the recent surge in the number of new technologies, such as NoSQL databases, data lakes, and cloud computing, have made many organizations rethink their SQL database usage. This book’s intent is to overcome the shortcomings or hurdles of SQL databases and let organizations take advantage of the benefits whil

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Zasuhina, Ol'ga, and Kristina Saharovskaya. "DATABASES IN CLOUD TECHNOLOGIES." Modern Technologies and Scientific and Technological Progress 2020, no. 1 (2020): 115–16. http://dx.doi.org/10.36629/2686-9896-2020-1-115-116.

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LIN, Zi-Yu, Yong-Xuan LAI, Chen LIN, Yi XIE, and Quan ZOU. "Research on Cloud Databases." Journal of Software 23, no. 5 (2012): 1148–66. http://dx.doi.org/10.3724/sp.j.1001.2012.04195.

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Nallapareddy, Chandrababu. "Database Cloud Migration Strategy for a Business-Critical Application." Journal of Technology and Systems 7, no. 2 (2025): 22–32. https://doi.org/10.47941/jts.2635.

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Purpose: The purpose of this white paper is to detail the research on the database migration to cloud. It presents challenges like data security and compliance, managing costs effectively, maintaining business continuity and skill & expertise during the database migration to cloud. Methodology: This document runs through details of the strategies that database migrators or DBAs need to consider to effectively migrate the database for business-critical applications to cloud. This document highlights the challenges that organizations facing to migrate the databases to cloud. It outlines proc

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Thakar, Ani, Alex Szalay, Ken Church, and Andreas Terzis. "Large Science Databases – Are Cloud Services Ready for Them?" Scientific Programming 19, no. 2-3 (2011): 147–59. http://dx.doi.org/10.1155/2011/591536.

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We report on attempts to put an astronomical database – the Sloan Digital Sky Survey science archive – in the cloud. We find that it is very frustrating to impossible at this time to migrate a complex SQL Server database into current cloud service offerings such as Amazon (EC2) and Microsoft (SQL Azure). Certainly it is impossible to migrate a large database in excess of a TB, but even with (much) smaller databases, the limitations of cloud services make it very difficult to migrate the data to the cloud without making changes to the schema and settings that would degrade performance and/or ma

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Chen, Zongzhi, Xinjun Yang, Feifei Li, et al. "CloudJump." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3432–44. http://dx.doi.org/10.14778/3554821.3554834.

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There has been an increasing interest in building cloud-native databases that decouple computation and storage for elasticity. A cloud-native database often adopts a cloud storage underneath its storage engine, leveraging another layer of virtualization and providing a high-performance and elastic storage service without exposing complex storage details. It helps reduce the maintenance cost and expedite development cycles for the database kernels. We have observed that there are significant differences between the local and the cloud storage that invalid many designs inside existing databases

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Gele, Aori. "Study on the Security of the Databases in Cloud Computing Environment." Applied Mechanics and Materials 443 (October 2013): 473–76. http://dx.doi.org/10.4028/www.scientific.net/amm.443.473.

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In the modern information technologies, cloud computing is the most popular. However, the security problems in the application of the cloud databases should be never ignored. In this paper, the characteristics of cloud computing database are first introduced, and then the potential security problems as well as solutions in the application of cloud database are analyzed.

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Khan, Wisal, Teerath Kumar, Cheng Zhang, Kislay Raj, Arunabha M. Roy, and Bin Luo. "SQL and NoSQL Database Software Architecture Performance Analysis and Assessments—A Systematic Literature Review." Big Data and Cognitive Computing 7, no. 2 (2023): 97. http://dx.doi.org/10.3390/bdcc7020097.

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The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, support horizontal scalability and can efficiently process large amounts of unstructured data. Organizational needs determine which paradigm is appropriate, yet selecting the best option is not always easy. Differences in database design are what set SQL and NoSQL databases apart. Each NoSQL database type also consistently employs a mixed-model approa

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SÃ®rbu, Constantin Florin. "The place of the stored procedures in the cloud databases." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 1 (2013): 15–18. http://dx.doi.org/10.24297/ijct.v4i1a.3028.

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The software as a service model ensures not only cloud applications, but also cloud databases. In this paper we analyze the impact on stored procedures of the switch of the existing application to cloud applications and cloud databases. We demonstrate that the stored procedures and cloud applications have common advantages and we emphasize also other advantages of the stored procedures. As a contribution we propose a list of improvements to stored procedures that can be considered in the new versions of the SQL standard and implemented by the database management systems providers. For the mome

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Thapliyal, Shivankur. "A Newly Proposed Cloud Computing Based Strengthen Distributed Database System Model and Its Applications in Database Modelling." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (2021): 442–49. http://dx.doi.org/10.22214/ijraset.2021.38352.

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Abstract: In the modern era of today’s exceptional Information age, the day to day transactions of huge sensitive data sets, which is in the form of PBs (Peta-Bytes) 250 bytes and YBs (Yotta – Bytes) 280 bytes are drastically increases with enormous speed on CLOUD data storage environment. CLOUDs data storage environment are one of the most superior and reliable platform for storing a large sets of data both at enterprise level or local level. Because CLOUD provides online data fetching capability to restore or fetching data at any geographical locations through login their correspondent crede

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Marinho, Carlos S. S., Leonardo O. Moreira, Emanuel F. Coutinho, José S. Costa Filho, Flávio R. C. Sousa, and Javam C. Machado. "LABAREDA: A Predictive and Elastic Load Balancing Service for Cloud-Replicated Databases." Journal of Information and Data Management 9, no. 1 (2018): 94. http://dx.doi.org/10.5753/jidm.2018.1639.

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Cloud computing emerges as an alternative to promote quality of service for data-driven applications. Database management systems must be available to support the deployment of cloud applications resorting to databases.Many solutions use database replication as a strategy to increase availability and decentralize the workload of database transactions among replicas. Due to the distribution of database transactions among replicas, load balancing techniques improve the computational resources utilization. However, several solutions use the current state of the database service to make decisions

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Kohler, Jens, Kiril Simov, and Thomas Specht. "Analysis of the Join Performance in Vertically Distributed Cloud Databases." International Journal of Adaptive, Resilient and Autonomic Systems 6, no. 2 (2015): 65–87. http://dx.doi.org/10.4018/ijaras.2015070104.

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Cloud Computing becomes interesting for enterprises across all branches. Renting computing capabilities from external providers avoids initial investments, as only those resources have to be paid that were used eventually. Especially in the context of “Big Data” this pay-as-you-go accounting model is particularly important. The dynamically scalable resources from the Cloud enable enterprises to store or analyze these huge amounts of unstructured data without using their own hardware infrastructure. However, Cloud Computing is currently facing severe data security and protection issues. These c

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Islam, Ashraful. "HYBRID CLOUD DATABASES FOR BIG DATA ANALYTICS: A REVIEW OF ARCHITECTURE, PERFORMANCE, AND COST EFFICIENCY." International journal of management information systems and data science 1, no. 4 (2024): 96–114. http://dx.doi.org/10.62304/ijmisds.v1i04.208.

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The increasing reliance on big data analytics has driven organizations to seek more flexible, scalable, and cost-effective data management solutions, with hybrid cloud databases emerging as a prominent option. Hybrid cloud databases integrate both public and private cloud environments, allowing businesses to balance the scalability and cost advantages of public clouds with the security and control provided by private clouds. This systematic review, conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, examines the architecture, perfo

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Hnatchenko, Dmytro, Olena Kryvoruchko, and Oleksandr Vinichuk. "Mechanisms of replication and backup of databases in the cloud environment." Management of Development of Complex Systems, no. 58 (June 28, 2024): 146–52. http://dx.doi.org/10.32347/2412-9933.2024.58.146-152.

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The functionality of deploying databases on cloud computing environments, the main tools of the MS SQL SERVER DBMS for saving data in industrial databases, as well as the construction of a fault-tolerant database cluster on industrial servers are considered. All possible methods of data synchronization between the main and backup database, as well as methods of data backup to the cloud are considered. Researching the mechanisms of database synchronization and data backup, as well as the construction of a fault-tolerant cluster, will allow to consider in more detail the methods of data storage,

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Abuhamra, Eng Abdalgader Egreira Ali, Eng Nassreedin Mustafa Abdullah Ali, and Eng Ashraf Mahfoudh Abdannabi Ali. "Improving Cloud Database Performance Using Storage Technologies." IOSR Journal of Computer Engineering 26, no. 5 (2024): 61–65. http://dx.doi.org/10.9790/0661-2605036165.

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Cloud databases have become indispensable for modern applications due to their scalability, flexibility, and cost-effectiveness. However, optimizing performance in cloud environments can be challenging due to factors such as network latency, data distribution, and resource contention. This paper explores various storage technologies and techniques that can significantly enhance cloud database performance. We delve into the characteristics of different storage types, including solid-state drives (SSDs), hard disk drives (HDDs), and object storage, and discuss their suitability for various workl

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Vakaliuk, Tetiana A., Olha V. Korotun та Dmytro S. Antoniuk. "ДОБІР ХМАРО ОРІЄНТОВАНИХ ЗАСОБІВ НАВЧАННЯ БАЗ ДАНИХ МАЙБУТНІХ ФАХІВЦІВ З ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ". Information Technologies and Learning Tools 71, № 3 (2019): 154. http://dx.doi.org/10.33407/itlt.v71i3.2880.

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The article describes the selection of cloud-oriented learning tools for educational process of the students of higher education establishments by the expert appraisal method. The criteria and appropriate indicators for learning tool selection have been defined. Three learning tools to study databases were selected out of the list of offered tools, such as: Amazon RDS, Google Cloud SQL, Heroku PostgreSQL, Microsoft SQL Azure, Oracle Database Cloud Service, Rackspace Cloud Databases, SQLite Viewer. The expert appraisal method has been used with involvement of teachers, lecturers, departments’ h

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Minukhin, Serhii. "PERFORMANCE STUDY OF THE DTU MODEL FOR RELATIONAL DATABASES ON THE AZURE PLATFORM." Innovative Technologies and Scientific Solutions for Industries, no. 1 (19) (April 26, 2022): 27–39. http://dx.doi.org/10.30837/itssi.2022.19.027.

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When solving problems of working with relational databases on cloud platforms, the problem arises of choosing a specific model to ensure the performance of executing queries of varying complexity. The object of research is the processes of implementing various types of queries to relational databases within the framework of the DTU purchase model of the MS Azure platform. The subject is methods for evaluating the performance of work with relational databases based on the timing of query execution and indicators of the load on the resources of the cloud platform. The aim of the study is to deve

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Zbořil, Martin, and Vlasta Svatá. "Performance Comparison of Cloud Databases." Procedia Computer Science 256 (2025): 388–95. https://doi.org/10.1016/j.procs.2025.02.134.

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Zhao, Zhanhao, Hexiang Pan, Gang Chen, Xiaoyong Du, Wei Lu, and Beng Chin Ooi. "VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation." Proceedings of the ACM on Management of Data 1, no. 4 (2023): 1–27. http://dx.doi.org/10.1145/3626764.

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Cloud-native databases become increasingly popular while exposing to greater data security and correctness risks. Existing verifiable outsourced databases overlook either the correctness risk of transactions, or the disaggregation architecture: a key design consideration of cloud-native databases for performance and elasticity, or both. We present VeriTxn, a novel cloud-native database that efficiently provides verifiability of transaction correctness. VeriTxn relies on the trusted hardware (i.e., Intel SGX) to enable verifiable transaction processing. We build a page-structure cache in the tr

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Bharat Kumar Dokka and Er Vikhyat Gupta. "Cloud Database Migration and Modernization." International Journal for Research Publication and Seminar 16, no. 1 (2025): 326–43. https://doi.org/10.36676/jrps.v16.i1.140.

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Cloud database migration and modernization are now a priority for organizations that aim to harness the flexibility, scalability, and cost savings of cloud technology. In spite of extensive research on the topic during 2015-2024, issues still exist in migrating legacy databases in an efficient manner, with security, performance optimization, and regulatory compliance being the major issues. The research has discussed various migration approaches such as lift-and-shift, re-platforming, and re-architecting each with a set of trade-offs. Although the cloud-native databases provide elasticity and

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Arunkumar, R. Josephius, and R. Anbuselvi. "An Enhanced Methodology to Protect the Patient Healthcare Records Using Multi-Cloud Approach." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 8 (2017): 239. http://dx.doi.org/10.23956/ijarcsse.v7i8.57.

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Now-a-days, most hospitals and medical centers is to manage huge volume of patient’s medical records into database. It is essential to collect and access this information everywhere, to increase productivity and improve quality of health cares. Need to access electronic health information across the world and improve the quality of healthcare to patients will highlight importance of using cloud computing architecture in this area. But, despite the benefits of cloud computing applications for health care, the security challenges of cloud should be addressed. In this paper, we introduce and desc

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Bahtiar Semma, Andi, Mukti Ali, Muh Saerozi, Mansur Mansur, and Kusrini Kusrini. "Cloud computing: google firebase firestore optimization analysis." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (2023): 1719. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1719-1728.

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Cloud computing is a new paradigm that provides end users with a secure, personalized, dynamic computing environment with guaranteed service quality. One popular solution is Google cloud firestore, a global-scale not only structured query language (NoSQL) document database for mobile and web apps. Recent research on cloud-based NoSQL databases often discusses the difference between them and SQL databases and their performance. However, using cloud-based NoSQL databases such as firestore is tricky without any scientific comparison methodology, and it needs analysis of how its particular systems

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Wang, Jiaqi, Tianyi Li, Anni Wang, et al. "Real-Time Workload Pattern Analysis for Large-Scale Cloud Databases." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3689–701. http://dx.doi.org/10.14778/3611540.3611557.

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Hosting database services on cloud systems has become a common practice. This has led to the increasing volume of database workloads, which provides the opportunity for pattern analysis. Discovering workload patterns from a business logic perspective is conducive to better understanding the trends and characteristics of the database system. However, existing workload pattern discovery systems are not suitable for large-scale cloud databases which are commonly employed by the industry. This is because the workload patterns of large-scale cloud databases are generally far more complicated than t

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Kazheen, S. . Muhammad, and Maseeh Yasin Hajar. "Scalable Database Solutions in the Cloud Era: Challenges and Best Practices." Engineering and Technology Journal 10, no. 05 (2025): 5192–204. https://doi.org/10.5281/zenodo.15532508.

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Cloud computing has revolutionized data management, creating demand for highly scalable and adaptive database systems. Traditional architecture has given way to cloud-native databases that offer elasticity, modularity, and real-time responsiveness. This paper reviews modern approaches to building scalable cloud databases, highlighting critical challenges and emerging solutions. Key advancements include microservices-based architecture and intelligent tuning systems like CDBTune and HUNTER, which use AI to optimize performance under dynamic workloads. Security is addressed through homomorphic e

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Suruchi, Shah. "A REVIEW ON DATABASE SECURITY CHALLENGES IN CLOUD COMPUTING ENVIRONMENT." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 842–52. https://doi.org/10.5281/zenodo.13922361.

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Cloud computing is a system that offers many resources that may be customized, allowing for decentralized data management and storage. Cloud technologies have revolutionized concepts of data storage and access in organizations thus offering organizations flexible and efficient solutions. Cloud services such as DBaaS allows user to utilize sophisticated capabilities of databases without the responsibility of conventional databases. But with cloud computing, there is a great concern of security since issues such as data privacy, access control and compliance to regulatory requirements are paramo

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Julie, J. Delshi. "Watermarking for Copyright Protection of Databases in Cloud Computing." Paripex - Indian Journal Of Research 2, no. 1 (2012): 16–18. http://dx.doi.org/10.15373/22501991/jan2013/7.

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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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Andi, Bahtiar Semma, Ali Mukti, Saerozi Muh, Mansur, and Kusrini. "Cloud computing: google firebase firestore optimization analysis." Cloud computing: google firebase firestore optimization analysis 29, no. 3 (2023): 1719–28. https://doi.org/10.11591/ijeecs.v29.i3.pp1719-1728.

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Cloud computing is a new paradigm that provides end users with a secure, personalized, dynamic computing environment with guaranteed service quality. One popular solution is Google cloud firestore, a global-scale not only structured query language (NoSQL) document database for mobile and web apps. Recent research on cloud-based NoSQL databases often discusses the difference between them and SQL databases and their performance. However, using cloud-based NoSQL databases such as firestore is tricky without any scientific comparison methodology, and it needs analysis of how its particular systems

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Vakaliuk, Tetiana A., Olha V. Korotun, and Serhiy O. Semerikov. "The selection of cloud services for ER-diagrams construction in IT specialists databases teaching." CTE Workshop Proceedings 8 (March 19, 2021): 384–97. http://dx.doi.org/10.55056/cte.295.

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One of the main aspects of studying databases in higher education institutions by future IT specialists is database design and software product development. This, in turn, is the most important problem of the developer’s interaction with the customer. To facilitate the process of database design, ER-diagrams are used, which are based on the concepts of “Entity” and “Relationship”. An ER diagram allows you to present a database in the form of visual graphical objects that define a specific subject area. The article considers the available cloud services for the construction of ER-diagrams for l

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Kot, Sylwester, and Jakub Smołka. "performance analysis of a cloud database on mobile devices." Journal of Computer Sciences Institute 29 (December 29, 2023): 360–65. http://dx.doi.org/10.35784/jcsi.3798.

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The article presents a performance analysis of Firebase cloud database. Two services, namely Realtime Database and Cloud Firestore, are examined, and their query speed are compared to those of the local SQLite database. Basic CRUD operations were examined, taking into account the number of records in the database, the size of individual records and the complexity of the database structure. Upon completion of the research, it was concluded that Realtime Database outperforms Cloud Firestore and cloud databases are slower than the local database when it comes to operations on a single record. How

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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. "Model of using cloud-based environment in training databases of future IT specialists." CTE Workshop Proceedings 7 (March 20, 2020): 281–92. http://dx.doi.org/10.55056/cte.360.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database managemen

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Swapnil, Raj, and Kumar Raghav Anuj. "Elasticity in the cloud related to database autonomies and scalability." i-manager’s Journal on Cloud Computing 9, no. 1 (2022): 26. http://dx.doi.org/10.26634/jcc.9.1.18719.

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Cloud computing has been a very popular paradigm for implementing online applications. Scalability, elasticity, cost of use, and large-scale economies are the main reasons for the effective and widespread acceptance of cloud computing. In this paper, we outline our work to inject the aforementioned "cloud capabilities" into a database system designed to support various applications deployed in the cloud: designing scalable databases using autonomies database and elasticity that enables lightweight resiliency using low-cost live database migrations and an intelligent and autonomous controller d

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Ma, Hui, Klaus-Dieter Schewe, Bernhard Thalheim, and Qing Wang. "Cloud Warehousing." JUCS - Journal of Universal Computer Science 17, no. (8) (2011): 1183–201. https://doi.org/10.3217/jucs-017-08-1183.

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Data warehouses integrate and aggregate data from various sources to support decision making within an enterprise. Usually, it is assumed that data are extracted from operational databases used by the enterprise. Cloud warehousing relaxes this view permitting data sources to be located anywhere on the world-wide web in a so-called "cloud", which is understood as a registry of services. Thus, we need a model of dataintensive web services, for which we adopt the view of the recently introduced model of abstract state services (AS2s). An AS2 combines a hidden database layer with an operation-equi

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Jasim, Khalid F., and Akram M. Zeki. "Design of Protection Software Using Some Cryptosystems for Cloud Database Files." Cihan University-Erbil Scientific Journal 8, no. 1 (2024): 70–79. http://dx.doi.org/10.24086/cuesj.v8n1y2024.pp70-79.

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The security of cloud databases may be a basic concern for organizations as they store and manage expansive volumes of delicate information within the cloud. Cryptosystems played an essential part in securing information privacy and integrity in these situations. This paper gives an in-depth investigation of the utilization of cryptosystems for cloud database security. The paper starts by talking about the foundation and importance of cloud database security, highlighting the expanding requirement for strong information security measures. A comprehensive study reviewed and investigated the cur

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Jagadeeswaraiah, Palle, and M. R. Pavan Kumar. "SecureDBaaS Model for Accessing Encrypted Cloud Databases." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 2 (2015): 333. http://dx.doi.org/10.11591/tijee.v16i2.1621.

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<p>Cloud computing has recently emerged being a compelling paradigm that pertains to managing and delivering services over the web. The particular prevalent problem connected with cloud is confidentiality, security, as well as reliability etc., in which how the cloud provider assures. To recognize this, a novel architecture is usually introduced that will integrates cloud database services and as well executing concurrent operations on encrypted information. Also a new homomorphic encryption algorithm will likely be incorporated to offer confidentiality as well as concurrent execution of

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Kumar, E. Saravana, Selvaraj Kesavan, R. Ch A. Naidu, Senthil Kumar R, and Latha. "Comprehensive Analysis of Cloud based Databases." IOP Conference Series: Materials Science and Engineering 1131, no. 1 (2021): 012021. http://dx.doi.org/10.1088/1757-899x/1131/1/012021.

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Rady, Mai, Tamer Mostafa, and Rasha Ismail. "Securing Query results for Cloud Databases." International Journal of Intelligent Computing and Information Sciences 21, no. 1 (2021): 104–18. http://dx.doi.org/10.21608/ijicis.2021.71016.1081.

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Ton That, Dai Hai, James Wagner, Alexander Rasin, and Tanu Malik. "PLI $$^+$$ + : efficient clustering of cloud databases." Distributed and Parallel Databases 37, no. 1 (2018): 177–208. http://dx.doi.org/10.1007/s10619-018-7252-2.

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Syed, Ashraf. "Performance Analysis of Oracle APEX Applications in Multi-Tenant Cloud Environments." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–9. https://doi.org/10.55041/isjem03278.

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The rapid adoption of multi-tenant cloud environments has transformed how enterprises deploy database- driven applications, offering cost efficiency and streamlined management. Oracle Application Express (APEX), a leading low-code platform integrated with Oracle Database, is increasingly utilized in such setups to develop scalable web applications. This paper investigates the performance of APEX applications within multi-tenant cloud environments, leveraging Oracle Database Multitenant architecture. We configured a container database (CDB) hosting multiple pluggable databases (PDBs), each runn

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Kolla, Sudheer. "Serverless Computing: Transforming Application Development with Serverless Databases: Benefits, Challenges, and Future Trends." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 1 (2019): 810–19. https://doi.org/10.61841/turcomat.v10i1.15043.

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Serverless computing has revolutionized cloud services by abstracting infrastructure management, providing developers with an environment that automatically scales to meet demand. Initially popular in computing, serverless computing has since expanded into the database realm with services such as Amazon Aurora Serverless and Google Cloud Firestore. These databases offer dynamic scaling of storage and compute capacity without the need for developers to manage the underlying infrastructure. Serverless databases have transformed application development by providing a pay-per-use pricing model, wh

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Aljehani, Shahad, and Norah Farooqi. "A Systematic Literature Review on Security Challenges In A Hybrid Cloud Database." International Journal of Engineering & Technology 11, no. 1 (2022): 10–13. http://dx.doi.org/10.14419/ijet.v11i1.31911.

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Cloud computing paved the way to many technical facilities for companies to develop their business needs in more effective and efficient manner. Combining private and public cloud into so called Hybrid cloud has made a positive leap in business by allowing applications and data to be shared among enterprises. However, many challenges and issues have arisen when adopting the hybrid cloud to manage, store and process data. The most critical one of these challenges is the security of the adopted Hybrid cloud. This research presented a comprehensive study about the security challenges in the Hybri

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Hasan, Rasulov. "DATABASE AND THEIR TYPES." МЕДИЦИНА, ПЕДАГОГИКА И ТЕХНОЛОГИЯ: ТЕОРИЯ И ПРАКТИКА 2, no. 9 (2024): 273–81. https://doi.org/10.5281/zenodo.13847749.

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This article analyzed databases and their types. Detailed information was given on what databases are, their main features, methods of data storage and management. The article covers different types of databases, including relational, noSQL, in-memory, and cloud databases . For each type, their advantages and disadvantages are discussed, and recommendations are made as to which database is best to use for different purposes.

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