Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54453

A Comparison of Developer Performance Across Raw SQL, ORM-Inspired Interfaces, and a Cosmos-Specific ODM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54453

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54453

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

SKT

Sanjyoti Kumar Tarai1

RS

Rishabh Sharma2*

PS

Priyanshu Sharma2

AG

Ayush Godiyal2

LKS

Lakshay Kumar Signh2

Author Services & Downloads

Full Articles

Abstract

Anyone who’s worked with Azure Cosmos DB knows the frustration. The platform has its own SQL dialect that doesn’t quite match what you’re used to. You need to constantly think about partitions when writing queries. And there’s no schema enforcement which sounds great until you realize how easy it is to accidentally break things. sure, we have tools like Prisma and Mongoose that make database work easier. They’re genuinely great at what they do. But here’s the problem: they were designed for completely different databases. Prisma targets relational databases, Mongoose was built for MongoDB. Neither one really gets what makes Cosmos DB different, so developers are left figuring things out on their own. We wanted to see if we could do better. This paper looks at four different ways to work with Cosmos DB: writing raw SQL queries, using Prisma-style interfaces, following Mongoose’s patterns, and using a new ODM we built specifically for Cosmos. Our version has Zod validation for catching schema issues, typed field references so you don’t misspell things, automatic parameterization to prevent injection attacks, and a visual Explorer that actually understands Cosmos DB’s structure. We got several developers together and had them complete the same tasks using each method. We measured everything how accurate they were, how long tasks took, how much mental energy they burned, and how many errors they made. The difference was pretty clear. With the Cosmos-specific ODM, developers made far fewer mistakes. No more typos in field names, no more schema mismatches, way fewer syntax errors. Tasks got done faster, and the queries people wrote were more reliable and predictable. What this really tells us is that one-size-fits-all tools don’t work for specialized platforms. Cosmos DB has its own personality, its own quirks. It needs tools that understand those quirks. When developers have the right tools for the job, everything gets easier they write cleaner code,

KEYWORDS

Cite This Article

Sanjyoti Kumar Tarai1, Rishabh Sharma2*, Priyanshu Sharma2, Ayush Godiyal2, Lakshay Kumar Signh2, "A Comparison of Developer Performance Across Raw SQL, ORM-Inspired Interfaces, and a Cosmos-Specific ODM," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM54453

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

11/27/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...