Hybrid cloud architectures have emerged as one of the most consequential paradigms in contemporary enterprise computing, driven by the dual imperatives of scalability and control. Organizations increasingly seek to integrate on-premises data infrastructures with elastic public cloud resources in order to balance regulatory compliance, cost efficiency, performance, and innovation. Within this evolving technological ecosystem, Amazon Redshift has assumed a critical role as a fully managed, cloud-native data warehouse that enables large-scale analytics, real-time data ingestion, and complex query processing across heterogeneous data environments. The present study develops a theoretically grounded and empirically informed examination of how Amazon Redshift functions within hybrid cloud architectures, focusing on architectural design, workload management, data integration, and performance optimization.

Drawing extensively on the comprehensive treatment of Redshift in the Amazon Redshift Cookbook by Worlikar, Patel, and Challa (2025), this research situates Redshift not merely as a standalone cloud service but as a foundational element in modern hybrid data platforms. The analysis integrates perspectives from cloud computing theory, column-oriented database design, and enterprise information systems to demonstrate how Redshift mediates between traditional data warehouse models and the distributed, elastic logic of cloud infrastructures. By synthesizing insights from academic literature, vendor documentation, and comparative studies of cloud platforms, this article articulates a nuanced understanding of how hybrid cloud strategies are operationalized through Redshift-based architectures.

The discussion advances the argument that hybrid cloud data warehousing represents a transitional but durable configuration in the evolution of enterprise analytics. While full cloud migration remains a strategic goal for many organizations, regulatory constraints, legacy investments, and performance considerations ensure that hybrid models will persist. Amazon Redshift, when embedded within a hybrid cloud framework, becomes a socio-technical mediator that aligns technical capabilities with organizational strategy. This study concludes that understanding Redshift in hybrid contexts requires moving beyond product-centric evaluation toward a broader theory of infrastructural integration in the cloud era.

Hybrid cloud architecture, Amazon Redshift, data warehousing

Amazon Redshift website. Amazon Redshift Automatic Workload Management WLM. Available at https://docs.aws.amazon.com/redshift/latest/dg/automatic-wlm.html

Dubey, A., Shrivastava, G., & Sahu, S. (2013). Security in hybrid cloud. Global Journal of Computer Science and Technology, 13.

Data-Flair. AWS Features. Available at https://data-flair.training/blogs/aws-features/

Abadi, D., Boncz, P., & Harizopoulos, S. (2012). The design and implementation of modern column-oriented database systems. Foundations and Trends in Databases, 5(3), 197–280.

Amazon Redshift website. Amazon Redshift DynamoDB. Available at https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/RedshiftforDynamoDB.html

Bhadani, U. (2020). Hybrid Cloud: The New Generation of Indian Education Society. International Research Journal of Engineering and Technology, 7(9).

Visual-Paradigm. Cloud Services Architecture. Available at https://www.visual-paradigm.com/guide/cloud-services-architecture

Dutta, P., & Dutta, P. (2019). Comparative study of cloud services offered by Amazon, Microsoft & Google. International Journal of Trend in Scientific Research and Development, 3(3), 981–985.

Amazon Redshift website. Amazon Redshift Materialized Views. Available at https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html

Kamal, M. A., et al. (2020). Highlight the features of AWS, GCP and Microsoft Azure that have an impact when choosing a cloud service provider. International Journal of Recent Technology and Engineering.

Amazon Web Services. Hybrid Cloud with AWS. Available at https://aws.amazon.com/hybrid/

Gupta, A., et al. (2015). Amazon Redshift and the Case for Simpler Data Warehouses. ACM SIGMOD International Conference on Management of Data, 1917–1923.

Intellipaat. What is Amazon EC2 in AWS. Available at https://intellipaat.com/blog/what-is-amazon-ec2-in-aws/

Worlikar, S., Patel, H., & Challa, A. (2025). Amazon Redshift Cookbook: Recipes for building modern data warehousing solutions. Packt Publishing Ltd.

Amazon Redshift website. Amazon Redshift High Performance Queries. Available at https://docs.aws.amazon.com/redshift/latest/dg/c_challenges_achieving_high_performance_queries.html

Forbes Tech Council. Five Critical Reasons to Move Your Legacy Data Warehouse to the Cloud. Available at https://www.forbes.com/sites/forbestechcouncil/2020/02/26/five-critical-reasons-to-move-your-legacy-data-warehouse-to-thecloud/

Cloudian. Hybrid Cloud Architecture. Available at https://cloudian.com/guides/hybrid-it/hybrid-cloud-architecture/

Guru99. Cloud Computing for Beginners. Available at https://www.guru99.com/cloud-computing-for-beginners.html

Amazon Redshift website. Amazon Redshift Database Objects. Available at https://docs.aws.amazon.com/redshift/latest/dg/r_Database_objects.html

SearchAWS TechTarget. Amazon Web Services Definition. Available at https://searchaws.techtarget.com/definition/Amazon-Web-Services

Amazon Redshift website. Amazon Redshift System Overview. Available at https://docs.aws.amazon.com/redshift/latest/dg/c_redshift_system_overview.html

Caius Brindescu et al. (2021). Integrate Etleap with Amazon Redshift Streaming Ingestion. AWS Big Data Blog. Available at https://blog.etleap.com/integrate-etleap-with-amazon-redshift-streaming-ingestion-previewto-make-data-available-in-seconds

Amazon CloudFront. Available at https://en.wikipedia.org/wiki/Amazon_CloudFront

Amazon ElastiCache. Available at https://aws.amazon.com/elasticache/

Intellipaat. What is AWS Architecture. Available at https://intellipaat.com/blog/what-is-aws-architecture/

Data-Flair. AWS Architecture. Available at https://data-flair.training/blogs/aws-architecture/

Security Boulevard. AWS vs Azure vs Google Cloud. Available at https://securityboulevard.com/2021/05/aws-vs-azure-vs-google-cloud-comparing-cloud-platforms/