2025

Feature

Description

References

Supabase commercialization

Starting December 11, 2025, AnalyticDB for PostgreSQL Supabase is officially launched and enters the commercialization phase.

• [Notice] Commercialization of Supabase in AnalyticDB for PostgreSQL

• Supabase Feature Configuration and Usage Guide

Add a custom domain name for an AnalyticDB Supabase project

This topic uses Alibaba Cloud DNS as an example to describe how to add a custom domain name for an AnalyticDB Supabase project by using CNAME records.

Add a custom domain for AnalyticDB Supabase

Migrate a Supabase project

You can use the supabase-cli migration tool to migrate a complete Supabase project, including databases, storage objects, and edge functions, to AnalyticDB Supabase.

Migrate a Supabase project

Manage vector API permissions through RAM

You can use Alibaba Cloud Resource Access Management (RAM) to create permission policies for AnalyticDB for PostgreSQL vector APIs, enabling fine-grained access control. By granting specific API operation permissions to different RAM users, you can achieve secure and isolated access control.

Manage permissions for vector APIs with RAM

Feature

Description

References

Create a Nova vector index

Nova is the next-generation vector search engine for AnalyticDB for PostgreSQL, designed to deliver ultimate query performance and better cost-effectiveness. It provides two modes: disk-based (Novad) for high cost-effectiveness and memory-based (Novam) for ultimate performance.

Create a Nova vector index

Feature

Description

References

SMS verification login through Supabase

SMS verification code login is an important part of the application login system and is widely accepted by users as a registration and login method. AnalyticDB for PostgreSQL deeply integrates with the open-source Supabase authentication system. In addition to the SMS service providers natively supported by Supabase, it also supports Alibaba Cloud SMS to help developers build fast and stable SMS verification login capabilities.

Log on with SMS verification using Supabase

Use Edge Functions in AnalyticDB Supabase

AnalyticDB Supabase Edge Functions is a fully managed edge computing service that allows you to deploy TypeScript Deno functions to AnalyticDB Supabase projects. Compared with the open-source self-hosted Supabase, AnalyticDB Supabase provides complete Edge Functions management capabilities, ensuring that your code and data remain fully under your control while providing a development experience consistent with Supabase Cloud.

Use edge functions in AnalyticDB Supabase

AnalyticDB Supabase supports standard PostgreSQL direct connections

AnalyticDB Supabase projects created after August 27, 2025 support standard PostgreSQL direct connections. You can use common tools such as psql, JDBC, DBeaver, DataGrip, and Tableau to connect to AnalyticDB Supabase.

Supabase Feature Configuration and Usage Guide

Feature

Description

References

Backup and restoration (Serverless Pro mode)

To ensure data security and prevent data loss caused by misoperations or accidental deletion, AnalyticDB for PostgreSQL provides flexible automatic and manual backup features. In addition, you can restore data to a new instance based on existing backup sets for troubleshooting and disaster recovery, ensuring the security and traceability of business data.

Backup and restoration (Serverless Pro mode)

Use AI nodes to deploy model services

You can use AI nodes to deploy, test, and uninstall model services. This makes it easy to get started with and manage your model services.

Deploy a model service on an AI node

Use Auto-PipeLoad to automate unstructured data import

AnalyticDB for PostgreSQL introduces the Auto-PipeLoad plugin, which seamlessly connects Object Storage Service (OSS) with the database to automate ETL for unstructured data. Designed for modern AI applications, this plugin natively supports text extraction, intelligent chunking, and vectorization of unstructured data (such as .pdf, .docx, and .txt files), efficiently converting raw data into structured or vectorized data for analysis. This greatly simplifies the pipeline from raw data to AI applications.

Automate unstructured data ingestion with Auto-PipeLoad

Feature

Description

References

Use Supabase MCP

During development, you can use Supabase MCP (Model Context Protocol) tools in your IDE with natural language through your editor or Cursor to create, query, and delete Supabase projects without leaving the coding environment, significantly improving development and operations efficiency.

Supabase MCP user guide

Feature

Description

References

Manage AI nodes using an ACK cluster

You can use Container Service for Kubernetes (ACK) to manage purchased AI nodes, including viewing AI node information in an ACK cluster and using the GPU resources of AI nodes to deploy workloads such as inference services.

Manage AI nodes with an ACK cluster

Supabase

Supabase is an open-source PostgreSQL development platform that provides core features such as PostgreSQL databases, user authentication, and edge functions, supporting front-end and back-end interaction through RESTful APIs and SDKs. AnalyticDB for PostgreSQL provides a fully managed Supabase service to help you quickly create Supabase services and reduce development and maintenance costs.

Supabase

Feature

Description

References

AI nodes

With AI Nodes, you can perform the following operations:

• Deploy large models (such as DeepSeek and Qwen series) and small models (such as Embedding and Rerank models) on AI Nodes.

• Use dedicated AI Node resources, which ensures performance and data security when you call Embedding and Rerank models.

• Use powerful GPU acceleration to perform efficient data analysis and machine learning tasks with in-database AI/ML on AI Nodes.

• Create an instance

• Deploy DeepSeek to AnalyticDB for PostgreSQL