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Database Autonomy Service:Supported database engines and features

Last Updated:Mar 28, 2026

Database Autonomy Service (DAS) supports a range of relational and NoSQL databases across Alibaba Cloud managed services, self-managed databases on Elastic Compute Service (ECS) instances, and databases from other cloud providers. Use this page to find the features available for your database engine and instance type.

Supported databases

EnvironmentRelational databasesNoSQL databases
Alibaba Cloud managed databasesApsaraDB RDS for MySQL, PolarDB for MySQL, ApsaraDB MyBase for MySQL; ApsaraDB RDS for SQL Server, ApsaraDB MyBase for SQL Server; ApsaraDB RDS for PostgreSQL, PolarDB for PostgreSQL; PolarDB for PostgreSQL (Compatible with Oracle); PolarDB-X 2.0Tair (Redis OSS-compatible), ApsaraDB for MongoDB
Self-managed on ECSMySQL, PostgreSQLRedis, MongoDB
Other clouds or self-managedMySQL, PostgreSQLRedis, MongoDB
PolarDB-X 2.0 is a cloud-native distributed database service developed by Alibaba Cloud.

Symbol legend

SymbolMeaning
Supported
Not applicable
Not supported

Features of ApsaraDB RDS instances

FeatureApsaraDB RDS for MySQLApsaraDB RDS for PostgreSQLApsaraDB RDS for SQL Server
Basic EditionHigh-availability EditionEnterprise EditionCluster EditionBasic EditionHigh-availability EditionBasic EditionHigh-availability EditionCluster Edition
Performance trends
Monitoring dashboards
Performance insight (new version)
Performance insight (original version)
Real-time performance monitoring
Autonomy center
Alerting configuration
Query governance
Storage analysis
Capacity assessment
Session management
10-second SQL analysis
SQL throttling
Overview of lock analysis
Diagnostics
Diagnostic reports
Parameter diagnostics
SQL optimization
Slow query log analysis
Inspection and scoring
Event subscription
Automatic performance scaling
Automatic space expansion
Automatic storage expansion
Prediction-based auto scaling
Scheduled auto scaling
Automatic scaling for local resources
Automatic SQL throttling
Automatic SQL optimization
Traffic playback and stress testing
Automatic tablespace fragment recycling
Audit
SQL Explorer
SQL Review
Security audit (new version)
Security audit (original version)
Traffic playback and stress testing
Transaction analysis
Quick transaction analysis

Features of PolarDB clusters

Feature

PolarDB for MySQL

PolarDB for PostgreSQL

PolarDB for PostgreSQL (Compatible with Oracle)

PolarDB-X 2.0

Enterprise Edition (Cluster)

Enterprise Edition (Single Node)

Enterprise Edition Multi-master Cluster (Database/Table)

Enterprise Edition

Enterprise Edition

Performance Trend

✔️

✔️

✔️

✔️

✔️

✔️

Dashboard

✔️

✔️

✔️

✔️

Performance Insight (New Version)

✔️

✔️

✔️

Performance Insight (Old Version)

✔️

✔️

✔️

✔️

✔️

Real-Time Performance

✔️

✔️

✔️

✔️

✔️

✔️

Autonomy Center

✔️

✔️

Configure Alerting

✔️

✔️

✔️

Query Governance

✔️

✔️

✔️

Storage Analysis

✔️

✔️

✔️

✔️

✔️

✔️

Capacity Assessment

Instance Session

✔️

✔️

✔️

✔️

✔️

✔️

10-Second SQL Analysis

✔️

✔️

✔️

✔️

SQL Throttling

✔️

✔️

✔️

Lock analysis

✔️

✔️

✔️

Quick Diagnostics

Diagnostic Report

✔️

✔️

✔️

SQL Optimization

✔️

✔️

Slow Query Log

✔️

✔️

✔️

✔️

✔️

✔️

Inspection and Scoring

✔️

✔️

✔️

Event Subscription Service

✔️

✔️

Automatic scaling for performance optimization

✔️

✔️

Automatic space expansion

Automatic storage scaling

Prediction-based auto scaling

✔️

✔️

Scheduled auto scaling

✔️

✔️

Automatic scaling for local resources

✔️

✔️

Automatic SQL throttling

✔️

Automatic SQL optimization

✔️

Create a traffic playback and stress testing task

✔️

✔️

✔️

Automatic fragment reclamation

Audit

✔️

✔️

✔️

✔️

SQL Explorer

✔️

✔️

✔️

✔️

SQL Review

✔️

✔️

✔️

Security Audit (New Version)

✔️

✔️

✔️

Security Audit (Old Version)

✔️

✔️

✔️

✔️

Traffic playback and stress testing

✔️

✔️

✔️

✔️

Transaction Analysis

✔️

✔️

✔️

Quick Transaction Analysis

✔️

✔️

✔️

Sensitive data detection

✔️

✔️

✔️

✔️

✔️

✔️

Column Encryption

✔️

✔️

✔️

✔️

✔️

✔️

Features of self-managed MySQL, PostgreSQL, Redis, and MongoDB databases

References