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Community Blog [Infographic] Highlights | Database New Feature in November 2023

[Infographic] Highlights | Database New Feature in November 2023

Do you want to know what's new on database product in November? Check the infographic for details!

1. RDS for PostgreSQL 15 Adds the Support for Babelfish

Value: Babelfish enables PostgreSQL to understand commands from applications written for Microsoft SQL Server. By adding Babelfish feature in RDS for PostgreSQL 15, if you want to migrate from SQL Server to PostgreSQL, you can enjoy the latest improvements and enhancements of both PostgreSQL and Babelfish, and take advantage of the new features and functions that they offer.

Document:

https://www.alibabacloud.com/help/zh/rds/ApsaraDB-rds-for-postgresql/enable-babelfish-for-an-ApsaraDB-rds-for-postgresql-instance

Currently available in Chinese, English version coming soon

2. Redis & Tair (Cloud Disk) Supports the Change for Fixed Bandwidth (up to 3x)

Value: Bandwidth can affect the performance and latency of Redis operations, especially for large or complex data types. Allowing resizing the bandwidth is a more cost-effective way to enhance flexibility, improve efficiency, and increase reliability.

Document:

https://www.alibabacloud.com/help/zh/redis/user-guide/adjust-the-bandwidth-of-an-ApsaraDB-for-redis-instance

Currently available in Chinese, English version coming soon

https://www.alibabacloud.com/help/tair/user-guide/manually-adjust-the-bandwidth-of-a-tair-instance

3. Lindorm Released New Minor Kernel Version to Support MySQL Protocol

Value: If you are using Lindorm, you can use MySQL commands and tools to interact with Lindorm wide-column databases, without having to learn new interfaces or languages. This makes Lindorm more accessible and convenient for those who are familiar with MySQL, and also increase the compatibility and interoperability of Lindorm with other systems that use MySQL protocol.

Document:

https://www.alibabacloud.com/help/zh/lindorm/latest/enable-mysql-protocol-compatibility

Currently available in Chinese, English version coming soon

4. AnalyticDB for PostgreSQL Supports Seamless Migration From pgvector

Value: You can easily transfer vector data and applications from PostgreSQL with pgvector to AnalyticDB for PostgreSQL, without having to worry about data format or schema conversion, code rewriting, or performance degradation.

Document:

https://www.alibabacloud.com/help/analyticdb-for-postgresql/user-guide/vector-search

5. AnalyticDB for PostgreSQL Supports Hot & Cold Data Tired Storage

Value: By storing data with low access frequency to OSS, this feature helps you to reduce storage costs.

Document:

https://www.alibabacloud.com/help/analyticdb-for-postgresql/use-cases/data-storage-thermal-tiering

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