In the process of enterprise digital transformation, data has become the core asset, highlighting the crucial role of databases. However, traditional self-built databases face various challenges in terms of usage and O&M, including:

Complex Database Deployment and Slow Business Launch

The deployment of traditional databases involves an intricate process covering the establishment of hosts, storage, and networks of hardware devices, software installation and parameter configuration. The whole process often takes several days, significantly delaying business launch.

Difficult Database O&M Requiring Professional Knowledge

The increasing number and types of databases in digital business demand a wide range of professional knowledge. Hiring or inviting senior database administration (DBA) experts through outsourcing is costly. Additionally, fragmented DBA, repetitive tasks, and manual operation errors make it challenging to ensure the quality of business operations.

"Firefighting" Reactive Fault Handling Leading to Poor Real-Time Effectiveness

Without real-time monitoring and alerts, database administrators can only react to issues as they arise. Resolving faults can take a long time, causing significant business interruptions. Moreover, this reactive approach, lacking pre-event prevention and in-event fixing and recovery capabilities, can only be used to handle incidents after they occur.

Difficulty in Building a Comprehensive Data Security Protection System and High Data Security Risks

Most intrusion attacks aim to steal or destroy data in databases. General security protection technologies are not enough to provide comprehensive protection, especially against risks such as database permission leakage and data deletion resulting from poor management.