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Community Blog [Infographic] Highlights | Database New Features in August 2025

[Infographic] Highlights | Database New Features in August 2025

Discover the latest database product updates for August 2025 in our informative infographic!

1. PolarDB for MySQL Available on ENS

Description: The PolarDB for MySQL Edge Node Service (ENS) version has been launched, designed specifically for lightweight edge cloud infrastructure. This version allows deployment across a wide range of global edge locations, including regions such as Turkey, Vietnam, and Macau. The ENS version offers the same robust capabilities as the standard PolarDB for MySQL but is optimized for scenarios where low latency and high availability are paramount.

Value: Why It Matters?

  • Global Reach: Enterprises can deploy databases closer to their users, reducing latency and improving performance for applications that require quick response times.
  • Cost-Effective: Utilizing edge computing allows organizations to minimize operation costs associated with data transfer and processing.
  • Enhanced User Experience: With reduced latency, end users receive faster service and improved experiences, crucial for applications such as e-commerce and real-time data analytics.

Document: https://www.alibabacloud.com/help/polardb/polardb-for-mysql/polardb-mysql-on-ens/

2. PolarDB for PostgreSQL Introduced DynamoDB Compatibility (PolarDB-DDB)

Description: The newly introduced PolarDB-DDB feature for PolarDB for PostgreSQL provides high compatibility with Amazon DynamoDB. This feature enables seamless migration from DynamoDB with minimal changes to existing application code. It also includes tools for compatibility assessment and smooth online migration processes from DynamoDB.

Value: Why It Matters?

  • Ease of Migration: Developers can transition from DynamoDB without extensive code rewrites, significantly reducing migration timelines and costs.
  • Compatibility Assessment: Built-in migration tools allow businesses to evaluate compatibility before migration, minimizing risks and ensuring smooth transitions.
  • Enhancement of PostgreSQL Capabilities: By leveraging the strengths of both systems, users can benefit from advanced features and performance improvements while maintaining familiarity with PostgreSQL.

Document: https://www.alibabacloud.com/blog/introducing-polardb-ddb-polardb-for-postgresql-compable-with-dynamodb_602530

3. ApsaraDB RDS for PostgreSQL Added Snowflake Extension

Description: The addition of the Snowflake extension to ApsaraDB RDS for PostgreSQL enables users to access data within Snowflake data warehouses directly from their PostgreSQL databases. This integration allows for efficient querying and manipulation of data across both platforms.

Value: The Snowflake-style ID feature provides an optimal UUID alternative for distributed applications.

Document: https://www.alibabacloud.com/blog/using-snowflake-style-ids-in-apsaradb-rds-for-postgresql_602448

4. ApsaraDB RDS for MySQL Launched Blue-Green Deployment (In Preview)

Description: The Blue-Green Deployment feature in ApsaraDB RDS for MySQL provides a strategy for rolling out application updates. This method involves maintaining two production environments: one live (blue) and one redundant (green). Users can seamlessly switch between them for upgrades, allowing quick rollbacks if issues arise.

Value: Why It Matters?

  • Reduced Downtime: Users can minimize downtime during upgrades, enhancing user experience and reliability during critical releases.
  • Safe Rollbacks: If the update encounters problems, reverting to the previous version is instant, improving the overall risk management during deployment.
  • Lower Development Impact: The deployment process is transparent to applications, requiring no code modifications, which simplifies upgrade processes from a development standpoint.

Document: https://www.alibabacloud.com/help/rds/apsaradb-rds-for-mysql/blue-green-deployment

5. ApsaraDB RDS for MySQL Supports DuckDB-Based Analytical Instances

Description: ApsaraDB RDS for MySQL now includes support for DuckDB-based analytical instances. DuckDB is designed for online analytical processing (OLAP) and boasts features such as columnar storage and vectorized execution, providing an impressive boost in query performance for analytical workloads.

Value: Why It Matters?

  • High Performance: The use of columnar storage and vectorized computing allows for significant improvements in analytical query performance, making it more efficient to derive insights from large datasets.
  • Real-Time Analytics: Users can conduct real-time analytics on substantial volumes of data, helping businesses quickly respond to changing market conditions or customer demand.
  • Cost-Effective Solutions: By offering high-performance analytics directly within RDS for MySQL, enterprises can reduce the need for separate data warehouse solutions, saving both time and cost.

Document: https://www.alibabacloud.com/help/rds/apsaradb-rds-for-mysql/duckdb-based-analytical-instance/

6. ApsaraDB for MongoDB Optimized Instance Resizing Functionality

Description: The instance resizing of ApsaraDB for MongoDB replicaset instances (version 4.4 and above) has been significantly optimized, reducing vertical resizing duration by over 30%.

Value: Significantly reduces resizing time, enhancing user experience.

Document: https://www.alibabacloud.com/help/mongodb/user-guide/changing-the-configurations-of-an-instance/


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