Quickly get started with a flexible schema optimized for high storage efficiency.
Scale queries with automatic clustered indexes on time and secondary indexes on any metadata field.
Uncover patterns with window functions and calculate moving averages and sums over flexible time windows.
Support the entire lifecycle of time series data, from ingestion, storage, analysis, and visualization to data archiving.
Reduce latency and comply with data sovereignty regulations by partitioning datasets and co-locating nodes with data producers.
Dramatically reduce your database storage footprint by as much as 70% with best-in-class compression algorithms.
Missing data points? Gap filling and densification make it easier to handle missing data.
Delete data when needed to easily comply with modern data privacy regulations.