SCADA, AMI, PMU and DERMS data often sit across different systems. Managing time-series along with operational data can mean another database, additional pipelines to maintain and delays between what is happening on the grid and what your teams can see.

Tiger Data, creators of TimescaleDB, extends Postgres so you can run time-series, application and operational data in one database. Hypertables and columnar compression keep queries fast as data volumes grow, while incrementally updated materialized views keep rollups, data aggregates, and dashboards up to date without additional batch processing.

Energy company Axpo moved from an MSSQL Server setup that struggled to scale beyond two power plants. Today, more than 20 power plants are connected with Tiger Data.

Meet the Tiger Data team at Stand A.d117.