Comparative Analysis of Data Warehousing Solutions in the Cloud: A Focus on Azure PostgreSQL

doi:10.32628/cseit241051016

Paper

Comparative Analysis of Data Warehousing Solutions in the Cloud: A Focus on Azure PostgreSQL

Published Oct 9, 2024 · Mahesh Thoutam

International Journal of Scientific Research in Computer Science, Engineering and Information Technology

0

Citations

0

Influential Citations

Full text

Abstract

This article provides a comprehensive analysis of cloud data warehousing solutions, with a focus on Azure PostgreSQL. It examines the rapidly growing cloud data warehouse market, highlighting key advantages such as scalability, cost-effectiveness, and advanced analytics capabilities. The article compares major platforms including Azure PostgreSQL, Amazon Redshift, Google BigQuery, and Snowflake, detailing their features, strengths, and market positions. Special attention is given to Azure PostgreSQL, outlining scenarios where it excels and providing best practices for leveraging its features. The analysis aims to guide decision-makers in selecting the most suitable cloud data warehousing solution for their specific business needs in an evolving data management landscape.

Study Snapshot

Azure PostgreSQL excels in scalability, cost-effectiveness, and advanced analytics, outperforming platforms like Amazon Redshift, Google BigQuery, and Snowflake.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Comparative Analysis of Data Warehousing Solutions in the Cloud: A Focus on Azure PostgreSQL

References

Citations