Real-time Analytics in Postgres: Why It's Hard (and How to Solve It)

Enabling real-time data analytics is a key capability of modern applications, but PostgreSQL materialized views have limitations, such as inefficient refreshes, lack of automatic refreshes, and not showing up-to-date results. Timescale's continuous aggregates solve these limitations by providing automatic and efficient refreshes, as well as combining materialized data with raw data. Continuous aggregates are suitable for real-time analytics, live dashboards, reporting, and more.