Multitenancy and In-Memory Databases in Cloud Environments: A Comprehensive Review

A multi-tenancy setup with in-memory database solutions in the cloud proves instrumental in optimizing computing resources across diverse tenants, leading to heightened cost efficiency and performance gains. Contemporary practices often involve consolidating numerous database workloads onto a unified server to decrease overall operational expenses. In-memory data frameworks are examined concerning data models, compatible workloads, indexing methods, and strategies for managing memory overflow in cloud environment. To deploy different in-memory database model for opting better performance using tenancy model. This research study analyzes the critical role of data integrity within in-memory databases concerning tenant placement, with applications extending to both public and private cloud services in forthcoming paradigms.