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Artificial Intelligence (AI) will enhance cloud databases, offering features such as automated monitoring, anomaly detection, predictive analytics, and a user-friendly interface. The goal of fully managed databases is to automate maintenance procedures such as tuning and upgrades. Automated cloud databases enable businesses to quickly recover from errors. System restores and backups are automated in various businesses. Additionally, by providing standardized services and a variety of compliance tools, businesses get to apply configuration standards & policies. Cloud database systems can leverage AI, scaling resources up or down to meet customer demands and derive the best performance and responsiveness.
Cloud databases and DBaaS are expanding in the market owing to their highly advanced technological features. Cloud databases and DBaaS services have some disadvantages that might hinder the cloud database market growth. After committing to one specific provider, the user might encounter difficulties while migrating data to a different cloud provider. This phenomenon is known as vendor lock-in. For medium-to-large businesses that store massive data volumes with one cloud provider, vendor lock-in will become an issue. Due to the humongous volume of data and allied challenges of moving, it might be difficult to switch to another provider.