TimescaleDB

https://docs.timescale.com/timescaledb/latest/#welcome-to-the-timescaledb-documentation

TimescaleDB is a time-series database, built on top of PostgreSQL. More than that, however, it's a relational database for time-series. Developers who use TimescaleDB get the benefit of a purpose-built time-series database, plus a classic relational database (PostgreSQL), all in one, with full SQL support.

https://docs.timescale.com/timescaledb/latest/overview/how-does-it-compare/timescaledb-vs-postgres/#why-use-timescaledb-over-relational-databases

TimescaleDB also includes a number of time-oriented features that aren't found in traditional relational databases. These include special query optimizations (like the merge append above) that provide some of the huge performance improvements for time-oriented queries, as well as other time-oriented functions (some of which are listed below).

https://www.timescale.com/blog/observability-powered-by-sql-understand-your-systems-like-never-before-with-opentelemetry-traces-and-postgresql/

Today, we are announcing the general availability of OpenTelemetry tracing support in Promscale, the observability backend for metrics and traces built on the rock-solid foundations of PostgreSQL and TimescaleDB. We’re now closer to becoming the unified data store for observability powered by SQL, bringing the PostgreSQL and observability worlds together.