An overview of cloud data warehouses: Amazon Redshift (AWS), Azure Synapse (Azure), and Google BigQuery (GCP)

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Praveen Borra


Massive volumes of structured and semi-structured data originating from various sources can be efficiently stored, managed, and analysed using a data warehouse. It is specifically designed for query and analysis purposes, rather than for transaction processing, offering a strong foundation for making data-driven decisions. Organizations and businesses are drawn to cloud platforms for numerous reasons, including faster development and deployment, superior performance, low latency, and cost efficiency. The study delves into the cloud data warehouse services provided by three prominent cloud service providers: GCP, Microsoft Azure, and Amazon Web Services (AWS). Three of the most prominent cloud providers—AWS, Azure, and GCP—offer cloud data warehouse services: Amazon Redshift, Azure Synapse, and Google BigQuery. Selecting the right cloud data warehouse is a complex task due to the myriads of options available from these major providers. By carefully evaluating these factors, organizations can decide which cloud data warehouse service best meets their needs, balancing performance, latency, integration, security, and cost considerations to optimize their cloud strategy.


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Author Biography

Praveen Borra

Computer Science
Florida Atlantic University
Boca Raton USA