Store time series data in an optimized columnar format, reducing storage and I/O demands for greater performance and scale.
Dramatically reduce your database storage footprint by more than 90% with columnar storage format and best-in-class compression algorithms.
Optimize your queries with compound secondary indexes on all fields to achieve faster queries at scale.
Support the entire time series data lifecycle from ingest, storage, analysis, and visualization to archiving.
Use window functions to calculate moving averages and sums over flexible time-based windows.
Handle missing data points using specialized gap filling and densification functions.
Ability to freely modify the data with updates and deletes giving you more flexibility and control.
Horizontally distribute large data sets to reduce latency and comply with data sovereignty regulations.