International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-March 2025 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 1
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

NoSQL Databases in Big Data: Advancements, Challenges, and Future Directions

Author(s) Sainath Muvva
Country United States
Abstract The evolution of Big Data has catalyzed the rise of NoSQL databases as a crucial technology, offering enhanced scalability, adaptability, and efficiency compared to conventional relational systems. These databases excel in managing the diverse, rapidly changing data landscape characteristic of modern applications. This study delves into the ecosystem of NoSQL solutions, examining their varied architectures and synergies with established Big Data platforms. We analyze performance metrics, data consistency mechanisms, and security protocols unique to NoSQL environments. The paper also explores recent innovations, including hybrid database models and cloud-optimized designs, as well as their growing interplay with artificial intelligence. By scrutinizing current challenges and emerging trends, we aim to forecast the trajectory of NoSQL technologies and their potential to reshape Big Data analytics, while identifying key areas for future research and development in this dynamic field.
Keywords NoSQL Databases, Big Data, Scalability, Performance, Data Consistency, CAP Theorem, Hadoop, Apache Spark, Document-Oriented Databases, Key-Value Stores, Column-Family Stores, Graph Databases, Multi-Model Databases, Cloud-Native Databases, AI Integration, Machine Learning, Data Security, Data Privacy, Benchmarking, Database Modeling, Eventual Consistency
Published In Volume 14, Issue 2, April-June 2023
Published On 2023-05-02
Cite This NoSQL Databases in Big Data: Advancements, Challenges, and Future Directions - Sainath Muvva - IJSAT Volume 14, Issue 2, April-June 2023. DOI 10.5281/zenodo.14514132
DOI https://doi.org/10.5281/zenodo.14514132
Short DOI https://doi.org/g8wcgf
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org