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June 18, 2026
AlloyDB Omni documentation now includes documentation for the following AlloyDB AI features available in GA:
Auto vector embeddings automate the lifecycle of vector embeddings for large datasets, keeping them in sync with transactional data using real-time or batch updates. This feature includes a bulk mode that performs refreshes and migrations up to 130x faster than row-by-row processing."
AI functions integrate LLMs like Gemini to bring world knowledge to your AlloyDB data and incorporate advanced semantic search and ranking capabilities directly into your SQL workflows.
Use array-based AI functions to improve the efficiency of large-scale AI operations by enabling batch processing of natural language prompts in your SQL queries. For more information, see Perform intelligent SQL queries using AI functions.
AlloyDB Omni documentation includes documentation for the following AlloyDB AI features, which are available in Preview:
AlloyDB Omni documentation includes documentation for the following AlloyDB AI features, which are available in Preview:
- The AlloyDB columnar engine provides a read-optimized, in-memory cache for HNSW indexes, increasing the number of queries per second (QPS) that your database can handle for vector search workloads. For more information, see Accelerate vector search with the columnar engine.
- The sentiment analysis and summarization functions let you process and analyze unstructured data in your database. For more information, see Analyze text sentiment and Summarize content.
- AlloyDB supports Vector assist, an AlloyDB extension that simplifies the deployment and management of your AlloyDB vector workloads. For more information, see Vector assist overview.
- You can defer ScaNN index creation on an empty table or a table with insufficient rows until the table has sufficient data. For more information, see Create a ScaNN index.
- The alloydb_scann extension now supports four-level tree indexes, providing support for tables with up to 10 billion vector rows. For more information, see Four-level ScaNN tree indexes.
May 27, 2026
AlloyDB Omni using RPM version 18.1.1 is generally available (GA). Version 18.1.1 includes the following features and changes:
Adds support for Transparent Data Encryption (TDE) (Preview), enabling at-rest encryption for database clusters. This is available beginning with AlloyDB Omni using RPM version 18.1.1. For more information, see Transparent Data Encryption for AlloyDB Omni.
Reduced the RPM bundle size resulting in faster download times and improved deployment efficiency.
April 22, 2026
The naming conventions for AlloyDB Omni deployment options are updated to more
accurately reflect their respective installation and orchestration methods.
The following table summarizes the primary name changes:
| Original name | New name |
|---|---|
| AlloyDB Omni for containers | AlloyDB Omni using containers |
| AlloyDB Omni for Kubernetes | AlloyDB Omni using the container orchestrator |
| AlloyDB Omni for Linux | AlloyDB Omni using RPM |
| Red Hat RPM orchestrator | AlloyDB Omni using the RPM orchestrator |
This update clarifies the distinction between AlloyDB Omni deployment environments (such as Kubernetes or standalone Linux) and the packaging and orchestration technologies used to manage them. For more information, see Choose your deployment environment.
April 07, 2026
AlloyDB Omni version 18.1.0 is available in Preview. Version 18.1.0 is available as a Docker image and as an RPM package for Linux. To get started, submit this form to request access.
Version 18.1.0 includes the following features and changes:
To automate the process of vacuuming and collectively update the table statistics, AlloyDB Omni supports adaptive autovacuum. For more information, see Configure adaptive autovacuum.
AlloyDB AI lets you query remote ML models using the
google_ml_integrationextension to work with online predictions and text embeddings generated from ML models. For more information, see Install AlloyDB Omni with AlloyDB AI.Connect your AlloyDB Omni instance to agents that support the Model Context Protocol (MCP), which help you with development workflows. For more information, see Use AlloyDB Omni with MCP, Gemini CLI, and other agents.
Build LLM-powered applications using LlamaIndex. For more information, see Build LLM-powered applications using LlamaIndex.
Generate vector embeddings using an LLM hosted by Vertex AI that translates a text string into an embedding, which is the model's representation of the given text's semantic meaning as a numeric vector. For more information, see Generate embeddings.
Set up, configure, and generate SQL statements using AlloyDB AI natural language, which lets you create user-facing generative AI applications using natural language to query databases. For more information, see Generate SQL queries from natural language.
Protect your data by configuring AlloyDB Omni to work with Barman or pgBackRest, which are open-source database backup servers. For more information, see Set up Barman for AlloyDB Omni and Set up pgBackRest for AlloyDB Omni on Linux.
Parameterized secure views provide application data security and row access control using SQL views. This helps ensure that application users can view only the data that they're supposed to access. For more information, see Parameterized secure views overview.
Set up a high availability configuration for AlloyDB Omni. This only covers creating a new AlloyDB Omni instance in a high availability configuration. For more information, see Create a high availability setup. Then, Test your high availability setup.
Use the AlloyDB Omni monitor to manage AlloyDB Omni user roles, monitor the activity of your AlloyDB Omni server, and update or remove your AlloyDB Omni installation. For more information, see Manage and monitor AlloyDB Omni.
AlloyDB Omni only supports the
io_methodof worker and sync mode, with worker as default.
December 16, 2025
AlloyDB Omni for Linux is now available in Preview with AlloyDB Omni version 17.5.0. AlloyDB Omni is a downloadable, self-managed version of AlloyDB for PostgreSQL. AlloyDB Omni for Linux is suitable for deployment in non-containerized environments such as virtual machines or on bare metal. Available as an RPM package, you can install AlloyDB Omni directly on Red Hat Enterprise Linux (RHEL) 9 and Rocky Linux 9.
AlloyDB Omni for Linux is well suited for modernizing legacy applications, edge computing scenarios, and development environments where you need a powerful database that mirrors the managed AlloyDB service. For more information, see the AlloyDB Omni for Linux overview.
To get started with this deployment model, submit this form to request access.