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Data Management:What is Data Management (DMS)?

Last Updated:Mar 28, 2026

Data Management (DMS) is a one-stop data management platform for governing, developing, integrating, and consuming data across its full lifecycle. It combines database development tools, data governance, real-time and offline data integration, and built-in disaster recovery—giving your teams a single place to manage enterprise data assets securely and efficiently. The Data Disaster Recovery feature provides low-cost, highly reliable backup and recovery capabilities.

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Features

For a full list of DMS capabilities, see Features.

Why DMS

Unified data asset management Query, govern, and audit data assets across your organization from a single platform. DMS applies quality governance and security governance throughout the data lifecycle, so teams can find and use data without jumping between tools.

Break down data silos Integrate real-time and offline data from heterogeneous sources with customizable data processing logic. This eliminates the operational inefficiencies caused by data scattered across isolated systems.

Guided development experience DMS provides data forwarding and processing capabilities that manage data throughout its lifecycle. A graphical, guided development interface—combined with intelligent alerting and self-service diagnostics—lowers the barrier to data development and accelerates data mining workflows.

Built-in DevOps for data Manage the full data lifecycle within a DevOps workflow that includes a built-in control system for data forwarding. For details on iteration management, see Manage iterations. This tightens data security controls while improving research and development (R&D) velocity.

Data disaster recovery Protect critical data with flexible backup policies, instant recovery, and cross-region replication. These capabilities maintain high availability and minimize downtime when failures occur.

For a detailed breakdown of benefits, see Benefits.

Access DMS

MethodBest forLink
DMS consoleGraphical operations—browse schemas, run queries, manage tasks, and configure governance policies without writing scriptsOpen the DMS console
APIAutomating operations programmatically or integrating DMS into existing workflows and CI/CD pipelinesAPI reference

Pricing

DMS charges based on the features you use. See Billable items and prices for details.

Related services

  • Data Transmission Service (DTS): Supports data synchronization, migration, change tracking, integration, and processing across relational databases (RDBMSs), NoSQL databases, and online analytical processing (OLAP) databases. You can use DTS to build a secure, scalable, and highly available architecture.

  • ApsaraDB RDS: A stable, reliable, and scalable managed relational database service with built-in disaster recovery, backup, restoration, and migration capabilities.

  • PolarDB: A next-generation relational database service developed by Alibaba Cloud, compatible with MySQL, PostgreSQL, and Oracle engines, with storage capacity up to 100 TB and support for up to 16 nodes per cluster.

  • Tair (Redis OSS-compatible): A fully managed, high-performance database service compatible with the Redis protocol.

  • ApsaraDB for MongoDB: A MongoDB-compatible database built on Alibaba Cloud's distributed storage engine, with multi-node high availability, auto scaling, and backup and restoration.

  • AnalyticDB for MySQL: A cloud-native data warehousing service that supports high-throughput real-time writes, low-latency analysis, and complex extract, transform, and load (ETL) operations. AnalyticDB for MySQL can be used to build enterprise-class report systems, data warehouses, and data service engines.

  • AnalyticDB for PostgreSQL: A massively parallel processing (MPP) data warehouse for large-scale online analytical processing.

  • Object Storage Service (OSS): A secure, cost-effective, and highly reliable cloud storage service for large volumes of data.

For solution architectures that combine these services, see Alibaba Cloud Solutions.

Technical support

To get help or report issues, search for DingTalk group ID 21991247 (general) or 35585947 (Data Disaster Recovery) on DingTalk and join the group.