Simplify database management with Database Autonomy Service, a self-driving platform that automates performance, security, diagnostics & optimization using AI. Powered by Alibaba Cloud
Database Autonomy Service (DAS) is a next-generation database management platform designed to automate every aspect of database operations — from detection and optimization to security and capacity scaling — using machine learning and built-in expert intelligence.
After six years of exploration, practice, innovation, and accumulation, DAS has made huge breakthroughs since the release of the SQL diagnostic engine in 2014. As of April 2020, DAS has automatically optimized more than 42 million SQL queries, recycled more than 4 PB of space, and optimized 27 TB of memory.
Traditional database management relies on manual operations, which leads to human errors, higher operational costs, and slower problem resolution. DAS eliminates these challenges by automating core database tasks.
- Fully Autonomous Database Operations. 24/7 anomaly detection using machine learning. And reduces downtime and service failures.
- Massively Reduce Operational Costs. Save up to 90% on database management cost by replacing manual processes with automation intelligence.
- Faster Troubleshooting & Problem Resolution. AI-driven root cause analysis and automation means diagnose and remediate issues up to 80% faster than traditional methods.
- Enterprise-Grade Security & Compliance. Detect high-risk SQL operations, SQL injection attempts, abnormal access sources, and fully audit database activity in real time.
DAS detects anomalies 24/7 based on machine learning and fine-grained data monitoring. DAS provides features such as automatic SQL throttling, anomaly snapshot capture, automatic SQL review and optimization, elastic capacity evaluation, automatic storage expansion, and automatic computing resource expansion. You can use DAS to perform diagnostics and deliver measurable optimization results.
Multiple databases across environments (production, staging, multi-region).
Limited centralized visibility into database performance.
Strict SLAs where downtime directly impacts revenue and reputation.
Increasing complexity in database security and compliance
Centralized, real-time monitoring across all databases.
Intelligent diagnostics for faster root-cause analysis.
Data-driven performance optimization.
Database auditing and detection of risky or abnormal activities.
Improved SLA reliability with faster incident response.
Greater operational control and performance transparency.
Reduced security and operational risks.
IT teams can focus on strategic digital initiatives rather than firefighting
Small technical teams with no dedicated DBA.
Manual and reactive database monitoring.
Database performance issues as traffic grows.
Engineering time spent on troubleshooting instead of product development
Automated 24/7 database monitoring with minimal setup.
Early detection of performance issues before they impact users.
Automatic SQL and resource optimization.
Database scalability that grows with the business
Always-on customer engagement
AI handles high traffic volumes without increasing support teams.Higher conversion and retention
Personalization improves relevance and shopping experience.Efficient scaling
Automation supports growth while keeping costs under control.