Large-Scale, Multi-Type Database Cloud Platform Solution

Multi-type database resource management for DBaaS

Key Benefits

Accelerate Business Innovation and Delivery

Deliver databases as standardized services to business teams, enabling deployment within minutes. This significantly shortens development cycles and enhances responsiveness to market changes

Significantly Reduce Total Cost of Ownership (TCO)

Improve resource utilization through pooling and containerization technologies. Automation reduces manual operations, cutting both hardware procurement and long-term maintenance costs.

Enhance System Stability and Reliability

Provide standardized enterprise-grade high availability clusters and a unified operations management framework to mitigate risks caused by inconsistent technical capabilities or fragmented management processes.

Empower Technical Teams to Focus on Core Business

Free operations teams from repetitive database management tasks, allowing them to concentrate on high-value activities such as data architecture optimization and business enablement.

Solution Overview

Leveraging cloud-native technologies and containerization, the solution packages various types of databases and their dependencies into standardized container images. A container orchestration engine handles unified resource scheduling and isolation. This architecture decouples the underlying infrastructure from upper-layer database services, enabling resource pooling and elastic scaling—enhancing deployment density while ensuring service stability and flexibility.

Key Advantages

Massive-Scale Cluster Management

By deeply integrating database architecture with cloud-native technologies and applying targeted optimizations, the platform delivers superior orchestration and management capabilities compared to traditional managed platforms. It easily supports deployment of massive-scale database clusters.

Standardized Support for Heterogeneous Databases

The platform abstracts the architectural differences among databases and delivers 20+ mainstream databases as standardized services, supporting a wide range of use cases from relational databases to NoSQL.

Full Lifecycle Automation

Enables end-to-end automated database lifecycle management—from one-click provisioning, elastic scaling, automated backups, version upgrades to self-healing—greatly simplifying operations, improving efficiency, and reducing human error.