ApsaraDB RDS for MySQL - ApsaraDB RDS for MySQL Supports DuckDB-Based Analytical Instances
Aug 06 2025
ApsaraDB RDS for MySQLContent
Target customers: Users who require high-performance analytical queries. DuckDB-based analytical instances are fully compatible with the MySQL protocol, require zero ETL, and is ready for immediate use, enabling seamless integration and instant value. Use cases 1. Aggregation analysis: DuckDB-based analytical instances provide highly efficient aggregate queries, making it ideal for analytical workloads such as log data analysis. 2. Multi-table JOIN queries: DuckDB-based analytical instances significantly improve analytical performance for complex multi-table join queries in MySQL. New features/specifications: DuckDB-based analytical instances are powered by the integrated DuckDB engine and offer the following key features: 1. High-performance analytics: DuckDB-based analytical instances leverage advanced technologies such as columnar storage, Just-in-Time (JIT) compilation, vectorized execution, efficient memory management, and parallel processing. This results in a performance increase of up to 100x for complex analytical queries compared to the standard InnoDB engine. 2. Full MySQL compatibility: DuckDB-based analytical instances are 100% compatible with the MySQL protocol and its data types, and highly compatible with MySQL's SQL syntax and DDL statements. This allows you to retrieve results efficiently without modifying your original queries, ensuring a seamless adoption experience. 3. Seamless data synchronization: Data is automatically synchronized from the primary instance by using MySQL's native replication. This enables a seamless flow of data and an automatic row-to-column transformation within the RDS environment, eliminating the need for external ETL tools. This entire process ensures high stability for your business operations at no additional data synchronization cost. 4. Workload isolation: DuckDB-based analytical instances are dedicated to handling resource-intensive analytical queries, while the primary and regular read-only instances continue to manage transactional workloads. This separation of resources ensures that analytical and transactional operations do not interfere with each other, guaranteeing stable performance for both.
Help Document
https://www.alibabacloud.com/help/zh/rds/apsaradb-rds-for-mysql/duckdb-based-analytical-instance/?spm=a2c63.p38356.0.i4#7762332138g3p
