Postgres Extensions Cheat Sheet: Replace 7 Databases With SQL

This blog post by Matty Stratton illustrates how PostgreSQL, enhanced with various extensions, can effectively replace multiple specialized databases by offering features like full-text search, vector search, time-series data management, caching, message queues, document storage, geospatial queries, and scheduled jobs. Each section of the post provides SQL examples and explanations for setting up these extensions, highlighting the versatility and efficiency of PostgreSQL as a consolidated database solution. The post emphasizes the capability of PostgreSQL to integrate these functionalities natively without the need for separate services or infrastructures, thereby simplifying data architecture and improving performance. Additionally, the extensions are readily available on Tiger Cloud, allowing users to leverage them with minimal setup.

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