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Data Management

Data Management (DMS) is a one-stop platform supporting the entire data lifecycle. Design on a basis of the Data+AI concept, DMS offers comprehensive features including data asset management, data backup, data governance, database design, data integration and AI development, data consumption, and AI-driven data querying (AI Copilot).

A one-stop Data+AI management platform, enabling unified cross-cloud, multi-modal data management and end-to-end Data+AI development. DMS offers features like data asset management, data integration, data development, AI development, and data security compliance. Integrated with Alibaba large language models (LLMs), Qwen for example, it significantly boosts enterprise Data+AI development and management efficiency.

DMS seamlessly integrates with various open-source tools, including but not limited to Presto®, Apache Airflow™, Apache Spark™, MLflow, Jupyter Notebook, and Dify. It supports end-to-end Data+AI development and management, aligning with enterprise open-source ecosystem practices while addressing needs such as business database management, big data analytics, model development, and GenAI application development. With unified querying, IDE, workflow scheduling, and security capabilities, DMS builds the next-generation intelligent Data+AI foundation for enterprises.

In addition, DMS features built-in data disaster recovery (formerly DBS), providing cost-effective, highly reliable backup and recovery solutions. It empowers enterprises to securely and efficiently unlock data value, ensuring robust support for safe operations.

Benefits

Multi-Cloud and Hybrid Cloud Support: Unified Open Metadata Management

Supports enterprise-wide data asset management with unified metadata services across clouds, ensuring transparency in the Data+AI lifecycle. It enables enterprises not only to "find" data but also to "use" it effectively, facilitating quality and security governance throughout the data lifecycle.

By adopting unified cross-cloud metadata management, businesses can reduce management complexity while ensuring data visibility and security, thereby leveraging their data assets more efficiently. Learn More

Accelerating Business Value with Data+AI

DMS supports Jupyter Notebook and Apache Spark™, offering a comprehensive intelligent data development environment that includes database development, data integration, workflow orchestration, model development, and data visualization. It enables data development, querying, and visualization using Notebooks during Data+AI integration and development processes. These capabilities allow data professionals like analysts, scientists, and product managers to easily acquire, process, and analyze data, serving as a crucial tool for extracting and presenting data value for business insights.

By offering an integrated platform for data development, integration, and analysis to visualization, DMS helps enterprises swiftly convert data into business insights, supporting faster and more accurate decision-making.
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Efficient Data Delivery: AI-Driven Intelligent Data Development

Features like Data Copilot and AI Agent built on LLMs provide natural language to SQL (NL2SQL), SQL generation, and intelligent data querying for developers, data analysts, and data scientists. This facilitates intelligent data development, allowing teams to focus more on strategic and innovative tasks, thereby doubling development efficiency. Learn More

Secure and Flexible Data Management: Easy Data Mesh Architecture Implementation

Traditional centralized data management architectures struggle to flexibly meet rapidly changing business needs, especially for large enterprises with diverse data types and complex consumption patterns.

DMS utilizes the decentralized Data Mesh architecture, overcoming traditional centralized limitations for agile business needs. It offers flexible workspace isolation and data security features such as lineage tracking, data masking, operation auditing, and data backup, addressing data quality, sharing, and availability issues. Combined with Data Fabric technology architecture, it results in a 50% reduction in data management costs and a 10x increase in data value delivery efficiency. Learn More

Features

Convenient Data Management Operations

Visualized viewing and editing of data and table structure through a GUI.

Easy Table Management

You can edit tables using an Excel-like interface. No SQL coding is required to do CRUD (create, retrieve, update, delete) operations or perform analytical tasks.

Visualized Table Restructuring

The GUI is used to design table structure fields, indexes, extension properties and other content visually, and to submit and execute operations in one click. Table structure comparison can easily realize the consistency comparison of table structures between the source database and the target database, and can obtain difference scripts. Table structure synchronization and database cloning allow you to easily compare table structure consistency between the source database and the target database. You can synchronize the table structure to the target database with one click.

Frequently Used SQL Statements

SQL statements frequently used can be saved to DMS for reuse when managing other databases.

SQL Window Recovery

The SQL window you are working on is automatically saved in real time. The page can be restored to the SQL window with SQL statements you are editing before if refreshing or closing by mistake , so that you can continue to edit your code.

Data Import and Export

Easy import and export of database-level and table-level data, supporting SQL scripts and CSV file formats.

Visualized Management of Metadata

Efficient management of metadata.

Document Generation

Easily generate all table structures in the database with one click, brow online, and export to Word, Excel, PDF and other file formats.

Table Creation SQL and Table Structures Export

Export table creation statements of relational and OLAP databases as needed, which can be used to quickly create or build new environments. Export table structure dictionary information of relational and OLAP databases to Excel files as needed for project internal archiving.

Metadata Information Viewing & Retrieval

Support databases and tables global searching and detailed attributes viewing such as table fields and indexes in the database.

Data Security (exclusive to the Security Collaboration control mode)

Secure data access for enterprises in all aspects.

Unified Authorization Management

DMS supports multi-dimensional on-demand authorization of databases, tables, and fields. Enterprise employees no longer have access to database by account and passwords.

Controllable Data Retrieval

Fully support on-demand control of the number of rows returned for each query, the total number of rows queried per day, the total number of queries per day, the timeout for single query, and the maximum table size scanned in a single query.

Intelligent Data Desensitization

Support field naming and table data scanning for data classification definition, combined with field permissions for limited access control of sensitive data. Support the configuration of different desensitization algorithms for fields, effectively shielding key information.

Precise Operational Audits

Accurate logging of people, time, modules, behaviors, all aspects of the operation, which can be audited by the administrator at any time.

Customizable Security Rules

Each database instance can be customized with different security specifications, feasible syntax types, and different operations corresponding to different approval processes.

Change Stability (exclusive to the Security Collaboration control mode)

Guarantees the smooth implementation of every change of the enterprise in an all-round way to avoid database performance fluctuation.

Intelligent SQL Risk Audit

Before the code is tested, SQL text and XML files can be submitted for review to identify SQL injection, non-indexed SQL, and SQL that does not meet the writing specifications, so as to avoid production failures caused by such SQL.

Reliable Data and Structural Changes

Perform full access risk identification and control before, during, and after changes to avoid database performance jitter caused by changes. Provide unlocked table change ability for large amounts of MySQL data and large table structures to avoid locking tables during changes that affect business.

Accurate Data Rollback

Fully support binlog parsing and batch export of rollback scripts for MySQL-type databases, which can help enterprises quickly repair abnormal data.

Efficient Research and Development (exclusive to the Security Collaboration control mode)

Comprehensively improve R&D efficiency of enterprises and reduce the costs.

Efficient R & D Process

Support the definition of various operation specifications and trial processes at the instance level to ensure data security without losing R & D efficiency. For example, the operations in the test environment is exempted from review while strict approval is required in the production environment.

Global Database Management

Support unified management of multiple sources of databases, including cloud databases, ECS self-built databases, local IDC self-built databases, competitor cloud databases, and competitor cloud server self-built databases. Fully support relational databases, OLAP databases, NoSQL databases and other types of databases.

Convenient Cross-instance Query

Real-time association analysis of heterogeneous online databases can be easily completed through a single SQL statement. Currently, MySQL, AnalyticDB for MySQL, PolarDB, SQL Server, PostgreSQL, and Tair (Redis® OSS-Compatible) are supported.

Easy-to-use Data Analysis

Support the scheduling and periodic scheduling management of SQL task nodes to facilitate the deployment and use of periodic tasks. Typical scenarios are data archiving, data migration to analytical databases, the periodic analysis in the analytical database generating reports such as daily, weekly and monthly reports and writing back to the online database to provide online services, etc.

Typical Solutions

  • Unified Management Solution of Hybrid Cloud
  • Data Security Solutions
  • Change Stability Solutions
  • Database DevOps Solutions
Unified Management Solution of Hybrid Cloud

Fully Support Unified Management of On-cloud and Off-cloud Resources

DMS provides an efficient, secure and comprehensive database development environment. The development design and performance diagnosis of more than 20 kinds of relational databases, data warehouses and NoSQL databases could be done with a GUI development environment. The DMS Security Collaboration control mode effectively protects data security through R & D specifications, R & D process, permission control, data desensitization, security audit and change rollback.

Problems solved

  • Unified Management of Cloud Resources

    Support unified management of cloud databases and self-built databases of ECS servers across multiple regions and different cloud accounts.

  • Secure Non-cloud Resource Management

    The on-premises IDC self-built databases, the competitor cloud databases, and the self-build databases on competitor cloud servers are reachable through the VPC leased line and the VPN gateway.

Data Security Solutions
Change Stability Solutions
Database DevOps Solutions

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