Melola Discovery

← Melola Discovery

Open access Journal

A Comparative Analysis of Traditional and Decentralized Storage Systems in the Digital Age

APTISI Transactions on Management (ATM) · Vol. 10 No. 1 (2025) · pp. 11–20

DOI
10.33050/atm.v10i1.2531
ISSN
2622-6804, 2622-6812
Published
2025-01-06
Publisher
Pandawan
Language
en
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The background of this research originates from the critical role of data storage in the advancement of modern digital technology, where centralized traditional cloud storage models have become dominant due to their accessibility and ease of data management. However, the challenges faced by these models include limited scalability, high operational costs, and vulnerabilities related to data security and privacy. In response to these limitations, the InterPlanetary File System (IPFS) has emerged as a decentralized storage solution that offers an alternative approach to data storage and distribution. The objective of this study is to compare IPFS and traditional cloud storage based on four key aspects: scalability, security, cost, and performance. The methodology involves a literature review and case studies of IPFS implementation in various practical scenarios. The findings reveal that while IPFS offers superior decentralization and resistance to data censorship, it still suffers from inefficiencies in data re- trieval and challenges in large-scale adoption. The results show that traditional cloud storage demonstrates advantages in access speed and integration capabilities but remains constrained by higher costs and the risks associated with data centralization. The conclusion emphasizes the need for continued research to enhance the efficiency of IPFS and to explore hybrid storage models that integrate the benefits of both decentralized and centralized technologies.

Keywords

Collaboration network of the authors

37 authors · 97 co-authorship links · 1 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Raharja
  • Universitas Kanjuruhan
  • Universitas Esa Unggul
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Untung RahardjaAffiliation unknown3
Efa Ayu NabilaAffiliation unknown2
Alfiah KhoirunisaUniversitas Raharja1
Alexander WilliamsAffiliation unknown1
Sella AvionitaAffiliation unknown1
Qurotul AiniUniversitas Raharja1
Sugeng SantosoUniversitas Kanjuruhan1
Tarisya RamadhanAffiliation unknown1
Achmad BadriantoAffiliation unknown1
Euis NurninawatiAffiliation unknown1
Alpi MaulanaAffiliation unknown1
Muhammad Rehan AnwarAffiliation unknown1
Irsa Rizkita AdianitaAffiliation unknown1
Hamdan HamdanAffiliation unknown1
Deni SunaryoAffiliation unknown1
Sudaryono SudaryonoAffiliation unknown1
Diah AryaniUniversitas Esa Unggul1
Siti MaesarohAffiliation unknown1
Aji Gempur PamungkasAffiliation unknown1
Arief SuharkoAffiliation unknown1
JawahirAffiliation unknown1
Ankur Singh BistAffiliation unknown1
Bhupesh RawatAffiliation unknown1
Nur Ihsan PermadiAffiliation unknown1
Oryz Agnu Dian WulandariAffiliation unknown1
yusuf febriansyahAffiliation unknown1
Muhtarom MuhtaromAffiliation unknown1
Sutama Wisnu DyatmikaAffiliation unknown1
Dwi Nur RamadhanAffiliation unknown1
Lily Maria EvansAffiliation unknown1
Mustam MustamAffiliation unknown1
Agung RizkyAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ijc.ilearning.co/ATM/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">A Comparative Analysis of Traditional and Decentralized Storage Systems in the Digital Age</dc:title>
	<dc:creator xml:lang="en">Po Abbas Sunarya</dc:creator>
	<dc:creator xml:lang="en">Desy Apriani</dc:creator>
	<dc:creator xml:lang="en">Ruli Supriati</dc:creator>
	<dc:creator xml:lang="en">Danang Surya Budi</dc:creator>
	<dc:creator xml:lang="en">John Edwards</dc:creator>
	<dc:subject xml:lang="en">Storage Systems</dc:subject>
	<dc:subject xml:lang="en">Data Storage</dc:subject>
	<dc:subject xml:lang="en">IPFS</dc:subject>
	<dc:subject xml:lang="en">Cloud Storage</dc:subject>
	<dc:subject xml:lang="en">Scalability</dc:subject>
	<dc:description xml:lang="en">The background of this research originates from the critical role of data storage in the advancement of modern digital technology, where centralized traditional cloud storage models have become dominant due to their accessibility and ease of data management. However, the challenges faced by these models include limited scalability, high operational costs, and vulnerabilities related to data security and privacy. In response to these limitations, the InterPlanetary File System (IPFS) has emerged as a decentralized storage solution that offers an alternative approach to data storage and distribution. The objective of this study is to compare IPFS and traditional cloud storage based on four key aspects: scalability, security, cost, and performance. The methodology involves a literature review and case studies of IPFS implementation in various practical scenarios. The findings reveal that while IPFS offers superior decentralization and resistance to data censorship, it still suffers from inefficiencies in data re- trieval and challenges in large-scale adoption. The results show that traditional cloud storage demonstrates advantages in access speed and integration capabilities but remains constrained by higher costs and the risks associated with data centralization. The conclusion emphasizes the need for continued research to enhance the efficiency of IPFS and to explore hybrid storage models that integrate the benefits of both decentralized and centralized technologies.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2025-01-06</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijc.ilearning.co/ATM/article/view/2531</dc:identifier>
	<dc:identifier>10.33050/atm.v10i1.2531</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 10 No. 1 (2026): January; 11-20</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 10 No 1 (2026): January; 11-20</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:source>10.33050/atm.v10i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/2531/930</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Po Abbas Sunarya, Desy Apriani, Ruli Supriati, Danang Surya Budi, John Edwards</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>