Summary

This chapter provided an overview of the key database workloads: transactional, analytical and AI, described their requirements and demonstrated how PostgreSQL has evolved over the last 10+ years to be able to cover many of these needs.The next chapter will give a brief overview of the history of Postgres, how its transactional, analytical, and AI features evolved in the last few years, and describe why it has become the #1 choice for modern business applications that leverage transactions, analytics, and AI.From there, we will take a deeper dive into transactional use cases and how to build high-performance transactional systems using the most recent PostgreSQL capabilities.Starting with Chapter 9, we analyze the needs for analytical solutions and show how developers can create analytical solutions in Postgres, including cubes, stars, rollups and text search.Chapter 15 starts the focus on AI, vector processing, management of embeddings, and a step-by-step approach to integrating...