Cost - Effective Big Data Storage and Processing: Analysing Tradeoffs between S3, RDS, and DYNAMODB in AWS
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Engineering Science | India | Volume 12 Issue 11, November 2023 | Popularity: 4.8 / 10


     

Cost - Effective Big Data Storage and Processing: Analysing Tradeoffs between S3, RDS, and DYNAMODB in AWS

Girish Ganachari


Abstract: Everything today is reliant on data, so firms need fast, cheap solutions to store and manage massive volumes of it. Amazon S3, RDS, and DynamoDB are three popular AWS services examined in this study. The test evaluates their performance, scalability, and compatibility with big data apps. The advantages and downsides of each service for companies has been emphasised. This helps them make wise data management decisions.


Keywords: Big Data, AWS, S3, RDS, DynamoDB, Cost - Effective Storage, Cloud Computing


Edition: Volume 12 Issue 11, November 2023


Pages: 2230 - 2233


DOI: https://www.doi.org/10.21275/SR24827095532


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Girish Ganachari, "Cost - Effective Big Data Storage and Processing: Analysing Tradeoffs between S3, RDS, and DYNAMODB in AWS", International Journal of Science and Research (IJSR), Volume 12 Issue 11, November 2023, pp. 2230-2233, https://www.ijsr.net/getabstract.php?paperid=SR24827095532, DOI: https://www.doi.org/10.21275/SR24827095532

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