Time series data appears in tremendous volume through massive bursts or continuous streams. It often contains sensitive timestamps and very high data cardinality, with many unique values per column. To best handle the nuances of time series data, you need a specialized time series database.
During ingestion, take advantage of features like high-volume ingest, out-of-order indexing and deduplication.