Time-series databases are optimized for high-ingestion, append-heavy workloads such as metrics, telemetry, IoT, and observability—but they are not the answer to every table with timestamps. The real decision is whether teams mostly ask “what changed over time? ” Success depends less on raw speed...
Source: [HackerNoon](https://hackernoon.com/time-series-databases-at-scale-choosing-the-right-store-before-cardinality-breaks-you?source=rss)