Cloud-Native Database: Market Trends, Technical Evolution and Accessibility

Over the past half-century, database products have undergone significant evolution: from integrated mainframe databases to IOE architectures, then to open-source databases like MySQL, and finally to cloud databases. Currently, cloud-native databases have emerged as the future direction, gaining strong support from cloud providers like AWS, Alibaba Cloud, and Baidu Intelligent Cloud.

According to Gartner predictions, by 2025, 95% of digital business will be based on cloud-native platforms, driving rapid growth in the cloud-native database market. However, 42% of enterprises still have concerns about adopting cloud-native databases. Survey data shows 57.9% of enterprises consider using cloud-native databases for their primary business systems, while 42% remain观望. Internet行业 accounts for 55.4% of adoption, with finance, manufacturing, and consumer industries each below 10%.

The main concerns include: flexible deployment requirements (especially for government and financial sectors requiring 90% private deployment), technology maturity, and service sustainability. To achieve broader accessibility, cloud-native databases must improve across deployment, usage, and operations:

Deployment : Support cross-platform deployment on generic hardware, containerization via Kubernetes, and flexible single-node to distributed architectures

Usage : Maintain compatibility with MySQL/PostgreSQL, enable HTAP capabilities for hybrid transactional/analytical processing, and provide smooth migration paths

Operations : Implement automated backup, recovery, monitoring, fault detection, and leverage AI/ML for intelligent operations (AI4DB). Serverless capabilities enable automatic scaling of compute and storage resources

Baidu's GaiaDB exemplifies this evolution from 1.0 to 4.0. Key technical innovations include: Quorum consensus protocol replacing Raft to reduce network latency (single network request vs. two), intelligent network framework supporting kernel/user-space TCP with automatic protocol selection (reducing E2E latency by 60% to hundred-microsecond range), parallel computing technology for multi-core CPU utilization, and columnar storage indexes for efficient analytical queries.

GaiaDB 4.0 supports 1GB to 500TB storage scaling, 100% MySQL syntax and protocol compatibility, and HTAP capabilities for mixed workloads. The platform combines storage-compute separation with Serverless capabilities for automatic scaling and integrates large language models for intelligent operational assistance, helping database engineers efficiently retrieve knowledge and make rapid operational decisions.