In response to GCP-2026-071, Google is updating AlloyDB managed components.

The following AlloyDB AI and vector search features and improvements are generally available (GA):

The following AlloyDB AI and vector search features and improvements are generally available ( GA ):

Identity and Access Management (IAM) group authentication is generally available (GA) for new and existing AlloyDB clusters running PostgreSQL 15 and later.

Identity and Access Management (IAM) group authentication is generally available ( GA ) for new and existing AlloyDB clusters running PostgreSQL 15 and later.

AlloyDB provides more accurate memory usage estimation and prevents out-of-memory (OOM) errors when you build a ScaNN four-level tree index.

This feature is in Preview. This update improves the stability of index builds by enforcing memory limits and improving memory estimation under constrained conditions.

The following AlloyDB AI functions and improvements are available in Preview:

The ai.extract function lets you extract structured data from unstructured text directly within your database queries without needing external extraction pipelines. For more information, see Extract structured data.

Lakehouse federation in AlloyDB is generally available (GA).

Lakehouse federation in AlloyDB is generally available ( GA ). This feature lets you query live data in BigQuery directly from AlloyDB using the bigquery_fdw extension without moving or duplicating the data.