Azure Database for MySQL vs. GaussDB vs. Navicat for MySQL vs. Oracle NoSQL Database Comparison Chart

GaussDB (for MySQL) is a next generation MySQL-compatible, enterprise-class distributed database service. It uses a decoupled compute and storage architecture and data functions virtualization (DFV) storage that auto-scales up to 128 TB per DB instance. There is virtually no risk of data loss. It supports millions of QPS throughputs and cross-AZ deployment, combining the performance and reliability of commercial databases with the flexibility of open source databases. By decoupling compute and storage, connecting them through RDMA, and using a "log as database" architecture, you can get seven times the performance of open-source databases. To scale read capacity and performance, you can add up to 15 read replicas for a primary node within minutes. GaussDB(for MySQL) is fully compatible with MySQL. You can easily migrate your MySQL databases to GaussDB(for MySQL) without reconstructing existing applications and without sharding.

Oracle NoSQL Database is designed to handle high-volume, high-velocity data applications requiring low-latency responses and flexible data models. It supports JSON, table, and key-value data types, and operates both on-premise and as a cloud service. The database scales elastically to meet dynamic workloads and provides distributed data storage across multiple shards, ensuring high availability and rapid failover. It includes Python, Node.js, Java, C, C#, and REST API drivers for easy application development. Additionally, it integrates with Oracle products such as IoT, Golden Gate, and Fusion Middleware. Oracle NoSQL Database Cloud Service is a fully managed service, freeing developers from backend infrastructure management. Oracle NoSQL Database Cloud Service is a fully managed database service for developers who want to focus on application development without dealing with the hassle of managing the back-end hardware and software infrastructure.