A Systematic Literature Review on Performance Evaluation of SQL and NoSQL Database Architectures

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ID: 312986
2024
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Abstract
The Maintaining large volumes of data in SQL and NoSql databases depends on programming architecture. NoSql databases excel in horizontal scalability and handling unstructured data, while SQL databases are designed for data organization and horizontal scalability. Choosing between SQL and NoSql databases can be challenging due to differences in database design and hierarchical needs. NoSql databases use a mixed-model strategy, complicating data movement between cloud storage providers, as different platforms experiment with various concepts. Systematic literature reviews (SLRs) analyze papers on NoSql and SQL database designs, interoperability, and cloud data portability. Recent research comparing Oracle RDBMS and MongoDB suggests that NoSql databases are better for big data analytics due to their customized architectures, whereas SQL databases are more suitable for online transaction processing (OTP).
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Authors Muqaddas Salahuddin, Samra Majeed, Sammia Hira, Gohar Mumtaz
Journal Journal of Computing & Biomedical Informatics
Year 2024
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