Microsoft Azure HorizonDB documentation

Azure HorizonDB is a fully managed, AI-ready Database-as-a-Service (DBaaS) offering built on the open-source PostgreSQL engine, designed to support mission-critical workloads with predictable performance, robust security, high availability, and seamless scalability. It empowers developers to build intelligent, AI-powered applications through native support for vector embeddings and integration with Foundry Tools.

Beginners guide to Azure HorizonDB

Overview

• What is Azure HorizonDB?
• Release notes

Quickstart

• Create an Azure HorizonDB cluster
• Connect and query using Visual Studio Code
• Connect using Python
• Connect using Java

Enterprise ready features

Concept

• Business continuity
• Backup and restore
• High availability and failover
• Networking and public access

How-To Guide

• Configure high availability
• Restore to a custom restore point

Security

Concept

• Security overview
• Access control
• Data encryption
• TLS and SSL

How-To Guide

• Manage database users
• Connect with SCRAM
• Reset admin password
• Connect clients with TLS

Build AI apps and agents

Overview

• AI capabilities in Azure HorizonDB
• Build AI agents
• AI frameworks and orchestration

How-To Guide

• AI functions in SQL
• Durable AI pipelines
• Vector search with pgvector
• DiskANN vector indexing
• Full-text search with pg_fts
• Hybrid search
• Semantic reranking

Tutorial

• Build a semantic search application
• Build a knowledge graph
• Develop with LangChain

Configure and manage

Concept

• Compute and replicas
• Scheduled maintenance
• Parameters
• Extensions
• Connection endpoints

How-To Guide

• Scale compute
• Add or remove replicas
• Enable deletion protection
• Allow extensions

Additional resources

Concept

• Connection libraries
• Graph database with Apache AGE
• Query store best practices
• Migrate using dump and restore

Reference

• REST API
• Region availability
• Azure pricing