Data-Driven Migration Strategies: Leveraging GenAI for Relational to NoSQL Cloud Database Migrations

Migrating from on-premises relational databases to cloud based NoSQL database [1] represents a fundamental shift in data architecture [2]. This transition involves moving from ACID-compliant [4], structured data models to eventually consistent, flexible schema designs. Organizations typically pursue this migration to achieve better scalability, reduce operational overhead, and leverage cloud-native capabilities. The process requires careful planning as it involves not just data movement but also application refactoring [5][20]. Modern database migrations can benefit significantly from GenAI [3] capabilities that can analyze source database patterns, predict optimal NoSQL targets, and automate complex decision-making processes. GenAI transforms traditional manual migration planning into intelligent, data-driven recommendations that reduce risks and improve outcomes. AI-powered analysis can examine years of query logs, schema evolution patterns, and performance metrics to recommend the most suitable NoSQL database type and architecture design.

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Publication Details

Journal
International Journal Of Engineering And Computer Science
Published
2025-09-28
DOI
https://doi.org/10.18535/ijecs.v14i09.5266
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Data-Driven Migration Strategies: Leveraging GenAI for Relational to NoSQL Cloud Database Migrations

Anil Malakar
International Journal Of Engineering And Computer Science
Cloud Computing and Resource Management
article

Data-Driven Migration Strategies: Leveraging GenAI for Relational to NoSQL Cloud Database Migrations

Anil Malakar
article en

Abstract

Migrating from on-premises relational databases to cloud based NoSQL database [1] represents a fundamental shift in data architecture [2]. This transition involves moving from ACID-compliant [4], structured data models to eventually consistent, flexible schema designs. Organizations typically pursue this migration to achieve better scalability, reduce operational overhead, and leverage cloud-native capabilities. The process requires careful planning as it involves not just data movement but also application refactoring [5][20]. Modern database migrations can benefit significantly from GenAI [3] capabilities that can analyze source database patterns, predict optimal NoSQL targets, and automate complex decision-making processes. GenAI transforms traditional manual migration planning into intelligent, data-driven recommendations that reduce risks and improve outcomes. AI-powered analysis can examine years of query logs, schema evolution patterns, and performance metrics to recommend the most suitable NoSQL database type and architecture design.

International Journal Of Engineering And Computer ScienceVol. 14(09)
Amazon (United States) (US)
Openalex Percentile: Top 61%
Cloud Computing and Resource Management
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