The basic architecture of Data Management (DMS) consists of the following three layers: data sources, data operation and management, and commercial application.
- Data sources
- DMS supports 27 types of data sources.
- Relational databases: MySQL, SQL Server, PostgreSQL, PolarDB for Oracle, PolarDB-X, OceanBase, Oracle, and Dameng (DM)
- NoSQL databases: Redis, MongoDB, and Graph Database (GDB)
- Online analytical processing (OLAP) databases: AnalyticDB for MySQL and AnalyticDB for PostgreSQL
- File storage: Object Storage Service (OSS)
- DMS supports ApsaraDB databases of Alibaba Cloud, databases of other cloud service providers, and self-managed databases.
- DMS supports 27 types of data sources.
- Data operation and management
- Data assets and security: DMS allows you to perform unified 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 schema synchronization, table consistency repair, database grouping, and data tracking.
- Data transmission and processing: DMS allows you to use the data migration, data subscription, data integration, and orchestration and scheduling features to transmit and process data by using only a few SQL statements.
- Data application: DMS provides the data service and data visualization 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