AI-Ready PostgreSQL 18: Building Intelligent Data Systems with Transactions, Analytics, and Vectors

Developing intelligent applications that integrate AI, analytics, and transactional capabilities using the latest release of the world's most popular open-source database

Key Features Practical examples demonstrating how to use PostgreSQL to develop intelligent applications Best practices for developers of intelligent data management applications Includes the latest PostgreSQL 18 features for AI, analytics, and transactions. Book Description In today’s data-first world, businesses need applications that blend transactions, analytics, and AI to power real-time insights at scale. Mastering PostgreSQL 18 for AI-Powered Enterprise Apps is your essential guide to building intelligent, high-performance systems with the latest features of PostgreSQL 18.

Through hands-on examples and expert guidance, you’ll learn to design architectures that unite OLTP and OLAP, embed AI directly into apps, and optimize for speed, scalability, and reliability. Discover how to apply cutting-edge PostgreSQL tools for real-time decisions, predictive analytics, and automation. Go beyond basics with advanced strategies trusted by industry leaders. Whether you’re building data-rich applications, internal analytics platforms, or AI-driven services, this book equips you with the patterns and insights to deliver enterprise-grade innovation.

Ideal for developers, architects, and tech leads driving digital transformation, this book empowers you to lead the future of intelligent applications. Harness the power of PostgreSQL 18—and unlock the full potential of your data.

What you will learn How to leverage PostgreSQL 18 for building intelligent data-driven applications for the modern enterprise Data management principles and best practices for managing transactions, analytics, and AI use cases How to utilize PostgreSQL capabilities to address architectural challenges and attain optimal performance for each use case Methods for utilizing the latest PostgreSQL innovation to create integrated data management applications Guidelines on when to use PostgreSQL and when to opt for specialized data management solutions Who this book is for This book is for backend developers, data engineers, database engineers, and solution architects who want to build modern applications using PostgreSQL as a unified platform for transactions, analytics, and AI. It is intended for readers with a basic understanding of SQL and relational databases who want to learn how to design high-performance transactional systems, implement analytical workloads, and integrate AI capabilities such as vector search and LLM-based applications within Postgres.

Table of Contents Transactional, Analytical, and AI Business Systems and Their Database Requirements The Evolution of Postgres A Sample E-Commerce Application Database Requirements for High-Volume Transactional Applications Transactions, ACID Compliance, and Data Normalization Functions and Stored Procedures Designing for High Transaction Volumes and Writing Efficient Transactional Code Understanding and Monitoring Transactional Application Performance Database Requirements for Analytical Use Cases The Analytics Data Model Feeding the PostgreSQL Data Warehouse Transforming the Data for Analytics PostgreSQL's Analytics Functions Analyzing Text Documents in PostgreSQL Database Requirements for Artificial Intelligence Use Cases Vectors and Indexing for AI with pgvector Multi-Modal Reasoning: Combining AI Vectors with Standard SQL (N.B. Please use the Read Sample option to see further chapters)