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.
From geo-indexing to faster read performance, see how MongoDB 6.0 takes time series collections to the next level.
Read the three-part blog on how to build a currency analysis platform with MongoDB
Automatically tier aged data out of the database and into cloud object storage without losing access to it or dealing with ETL pipelines.