What makes PostgreSQL the (almost) universal database solution today

PostgreSQL out of the box – without extensions and without tools – is not sufficient to meet the majority of transactional, analytical, and AI use cases. Some extensions are 'built-in', meaning they are part of the standard Postgres distribution, such as pg_stat_statememts, pg_trgm, or hstore.However, many others that significantly extend the reach of PostgreSQL can be installed separately to tailor the database for specific needs:For AI and Vector Workloads:

• pgvector for vector calculations and approximate nearest neighbor searches

For Time-Series and Analytics:

• timescaledb provides a hybrid row-columnar store that boosts analytical query performance on time-series and event data

For Performance and Maintenance:

• pg_ivm helps with incremental updates of some materialized views
• pgsqueeze helps manage bloat in tables
• pg_background allows to run processes in the background, outside of the transactional...