Lont-term time-series database
Engie, Energy sector
We built for Engie Global Energy Markets a time-series database that could work for both long-term, short-term and real-time data.
It quickly became the cornerstone of GEM trading activities, thanks to its unique set of features:
- efficiently store several terabytes of time-series data
- high ingestion rate, with throttling
- optimized for fast queries, regardless of the horizon
- support for versioned timeseries, useful for forecasts
- uses PostgreSQL recent features and streaming replication
- advanced aggregation methods for physical data (e.g. energy)
- multi-tenancy and flexible ACLs
- dynamic user interface using Vue.js
