The service architecture of Data Management (DMS) consists of the following three layers: data sources, data operation and management, and commercial application.
Data sources
Relational databases: MySQL, SQL Server, PostgreSQL, PolarDB for MySQL, PolarDB for PostgreSQL (Compatible with Oracle), PolarDB-X, OceanBase, Oracle, and Dameng (DM)
NoSQL databases: Redis, MongoDB, Memcache, Cassandra, and Graph Database (GDB)
Online analytical processing (OLAP) databases: AnalyticDB for MySQL and AnalyticDB for PostgreSQL
File and log storage: Object Storage Service (OSS) and Log Service
DMS supports Alibaba Cloud databases, databases from other cloud service providers, and self-managed databases. For more information, see Supported database types and features.
Data operation and management
Data assets and security: DMS allows you to perform centralized data asset management, data security management, and data governance for databases, data warehouses, and data lakes.
Database design and development: DMS provides a wide range of features for data design and development, such as lock-free change, data import, schema synchronization, table consistency repair, database grouping, and data tracking.
Data transmission and processing: DMS allows you to use the data synchronization, data migration, change tracking, data integration, and orchestration and scheduling features to transmit and process data by using only a few SQL statements.
For more information, see Features.
Commercial application
Data-based O&M
Multi-active disaster recovery
Next-day full data snapshot
Centralized data processing
Visual report
Multi-dimensional data analysis