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

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.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-10-09
DOI
https://doi.org/10.32628/cseit241051016
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

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

Mahesh Thoutam -
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Data Mining Algorithms and Applications
article

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

Mahesh Thoutam -
article en

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.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(5)
FM Global (United States) (US)
Openalex Percentile: Top 73%
Data Mining Algorithms and Applications
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