International Journal on Science and Technology

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Integrating Rails with Snowflake: Solutions and Challenges

Author(s) Madhusudhanarao Chebrolu
Country United States
Abstract This article explores the integration of Ruby on Rails with Snowflake, addressing the growing need forcombining traditional web application capabilities with powerful data analytics. While Rails excels at rapiddevelopment and managing transactional operations, Snowflake provides robust analytical processingthrough its unique multi-cluster architecture. The integration enables data-driven decision making, unifieddata architecture, scalable analytics, and specialized workload handling. Despite these advantages,developers face challenges including lack of official support, compatibility issues, performance bottlenecks,and data type mapping complexities. Four alternative integration approaches are presented: ODBC adaptergems, Go-based microservices, data access layers, and ETL/ELT processes. The article also outlines bestpractices for implementation, including performance benchmarking, modular design, error handling,connection management, query optimization, testing, and documentation, helping teams successfullyharness the complementary strengths of both platforms.
Keywords Analytics, Architecture, Integration, Microservice, Scalability
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-31
Cite This Integrating Rails with Snowflake: Solutions and Challenges - Madhusudhanarao Chebrolu - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.3095
DOI https://doi.org/10.71097/IJSAT.v16.i1.3095
Short DOI https://doi.org/g9dgpr
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