Ryan Booz splits things out:
For 20+ years of database and application development, time-series data has always been at the heart of the products I work with. Inevitably, as the quantity of data grew over time, management became more difficult and query performance suffered. Over the years, the primary method for managing this growth in data effectively would be to partition it. The problem is, until recently, partitioning wasn’t easy to setup in most OLTP databases like PostgreSQL or SQL Server.
Fortunately, PostgreSQL has significantly improved its ability to partition large data tables over the last 6 years, starting with PostgreSQL 10.
Read on for Ryan’s recommendations around partitioning and a few thoughts on sharding.