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

Authors

  • Mahesh Thoutam FMGlobal, USA Author

DOI:

https://doi.org/10.32628/CSEIT241051016

Keywords:

Cloud Data Warehousing, Azure PostgreSQL, Data Management Solutions, Cloud Analytics Platforms, Database Performance Optimization

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.

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References

IDC, "Worldwide Data Integration and Intelligence Software Forecast, 2022–2026," 2022. [Online]. Available: https://www.idc.com/getdoc.jsp?containerId=US49493223

Forrester Research, "The Total Economic Impact™ Of Microsoft Azure SQL Database Managed Instance," 2020. [Online]. Available: https://a977f2ff0fd0df04e5a7-36d71f1b048cd3f987e27e42582d99c6.ssl.cf1.rackcdn.com/White%20Paper_The%20total%20economic%20impact%20of%20Microsoft%20Azure%20SQL%20database%20managed%20instance_Azure.pdf

Flexera, "2024 State of the Cloud Report," 2024. [Online]. Available: https://info.flexera.com/CM-REPORT-State-of-the-Cloud

Gartner, "Gartner Forecasts Worldwide Public Cloud End-User Spending to Grow 18% in 2021," 2021. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2020-11-17-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-grow-18-percent-in-2021

R. Huo, D. Vasset, "Worldwide Big Data and Analytics Software Market Shares, 2022: Continued Growth Amid a Slowing Economic Environment," 2023. [Online]. Available: https://www.idc.com/getdoc.jsp?containerId=US50117923&pageType=PRINTFRIENDLY

Forrester Research, "The Forrester Wave™: Cloud Data Warehouse, Q1 2021," 2021. [Online]. Available: https://www.forrester.com/report/the-forrester-wave-cloud-data-warehouse-q1-2021/RES160678

IDC, "Worldwide Analytic Data Management, Integration, and Processing Platform Software Forecast, 2023–2027," 2023. [Online]. Available: https://cdn.idc.com/getdoc.jsp?containerId=US50719723

Microsoft, "Azure Database for PostgreSQL Documentation," 2024. [Online]. Available: https://learn.microsoft.com/en-us/azure/postgresql/

EnterpriseDB, "Introduction to PostgreSQL Performance Tuning and Optimization," 2023. [Online]. Available: https://www.enterprisedb.com/postgres-tutorials/introduction-postgresql-performance-tuning-and-optimization#wrongplan

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Published

09-10-2024

Issue

Section

Research Articles

How to Cite

[1]
Mahesh Thoutam, “Comparative Analysis of Data Warehousing Solutions in the Cloud: A Focus on Azure PostgreSQL”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 5, pp. 423–431, Oct. 2024, doi: 10.32628/CSEIT241051016.

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