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Database Workshop
Overview
What is Database Workshop
Overview
What is Database Workshop
What is Database Workshop
Database Workshop (DBW) is an all-in-one management and operations platform designed for diverse database types. DBW integrates graphical database operations, data change management, operations monitoring and analysis, security auditing, and autonomous operations into a single platform. It helps enterprises achieve unified management across the entire database lifecycle, reduce operational complexity and risks, and ensure that database services run stably, securely, and efficiently.
For detailed features supported by DBW, see Features. - Data development: Integrates visual SQL, ticket approval, lossless changes, and auditing, desensitization, and backup. Its Text2SQL capability is industry-leading, enabling natural language-driven development that covers the entire enterprise data R&D and security control process.
- Database operations: Provides real-time diagnosis, SQL analysis, capacity forecasting, and intelligent inspection with anomaly detection. It builds a closed loop from root cause analysis (RCA) to repair validation, enabling proactive database operations and protection.
- Lightweight data analysis: Performs lightweight analysis by directly connecting to online databases, eliminating the need for data migration or building a data warehouse. Supports natural language questioning and delivers visualized insights in minutes.
- AI capability - DBCopilot: Offers tiered services including consultation and migration, intelligent troubleshooting, development assistance, and data insights. The primary Agent orchestrates scenario-specific Agents to form a self-evolving closed loop of "generation → validation → correction → trustworthiness."
- Ease of use: Covers multiple instance types, integrating console interaction, slow logs, SQL optimization, sessions, and auditing. Provides a one-stop graphical management platform to reduce enterprise database management costs.
- Efficiency: Builds problem context views based on logs, state, and audit data, helping quickly locate and resolve issues with recommended solutions, significantly improving operational efficiency.
- AI-native: Uses an Agentic closed-loop to drive solution generation, security validation, and automatic correction, achieving continuous self-evolution through experience accumulation.
- Security and control: Centralizes management of connections, credentials, and permissions with least-privilege authorization and full-chain auditing. Equipped with 100+ security rules, ensuring core assets are secure, controllable, and fully traceable.
- Team collaboration and change control: Supports permission management, ticket approval, and multi-user collaboration, covering the entire process of SQL writing, querying, and database/table management to achieve standardized collaboration and risk compliance.
- Development integration and intelligent interaction: Integrates with tools like TRAE/Coze, enabling table creation, data retrieval, and ticket operations via natural language. Database capabilities can be packaged as reusable Skills. Supports one-click troubleshooting in Feishu Oncall groups with diagnostic results returned as cards.
- Performance optimization and intelligent operations: Provides lightweight troubleshooting capabilities such as slow SQL analysis and fault location, combined with AI for proactive, automated intelligent operations.
- RDS for MySQL: An elastic and reliable online relational database service built on open-source MySQL, offering high-performance read/write capabilities and convenient instance management with backup and recovery features.
- NDB for MySQL: A next-generation cloud-native relational database developed by Volcano Engine, 100% compatible with MySQL, combining high availability, reliability, performance, and efficient scalability.
- RDS for PostgreSQL: An elastic and reliable online relational database service built on open-source PostgreSQL, providing high-performance read/write capabilities along with comprehensive operations features like instance management and backup and recovery.
- RDS for SQL Server: A stable, reliable, and elastically scalable online database service built on Microsoft SQL Server, compatible with Microsoft ecosystem applications, and offering capabilities such as backup and recovery, log management, and monitoring and alerting.
- Cache for Redis: A caching database service compatible with open-source Redis, helping users easily build, run, and scale high-performance caches in the cloud to enhance application and database access performance.
- Document Database for MongoDB: A cloud database service that is fully compatible with native MongoDB, offering high availability, high performance, and flexible scalability. It supports multiple architectures to meet various business deployment needs.
Last updated: 2026.08.04 10:53:13