OrdinateDB in industry — from signal to analysis

Follow one measurement through a process plant. This pre-rendered camera flight traces its path from the instrument to the people and applications that use it.

One platform, from signal to analysis.

OrdinateDB is a time-series data platform. In industry it performs the role of a historian while also connecting collection, asset context, calculations, events, visualisation and access.

A value starts with its context.

The reading travels with its timestamp, source quality and unit. Those details distinguish a useful measurement from an isolated number.

Collect from systems already running the plant.

OrdinateDB collectors receive OPC UA, MQTT and custom gRPC data without taking control away from the DCS, SCADA or edge systems responsible for the process.

Keep recording through interrupted connectivity.

OrdinateDB at the edge writes readings to a local buffer before forwarding them. If the network is interrupted, store-and-forward resumes from the durable record when the connection returns.

History becomes part of the unified model.

The stream is related to the asset, parent system, units, quality, calculations, events, permissions and configuration history that give it meaning.

See live state and long-term history together.

OrdinateDB visualisation uses the same model for current values and history. Missing periods remain visible as gaps, with quality kept alongside the data.

Move history without moving the plant workload.

One OrdinateDB instance can forward history to another environment, so business users and applications work from the appropriate network without querying the control system.

Use the same governed record everywhere.

Engineers, Microsoft Excel, Power BI and custom applications can work from the same history, context, quality and permissions rather than separate exports.

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