Store and retrieve your data

External historian diagram

Store your data in a flat-file real-time historian in a compact, easily accessible format. Analyze or display it using any of the historian’s analytical, reporting, or graphing tools, as well as DataHub WebView and OPC UA HDA clients.

You can

  • Connect and store data in historians from any of these providers:
    • InfluxData – providers of InfluxDB®, a popular open source time series database, and InfluxDB Cloud, a time series database as a service.
    • Amazon – offering Amazon Kinesis Data Streams (KDS) that ingests and stores data streams for processing in AWS.
    • AVEVA – with AVEVA Historian, a plant-scale industrial historian (formerly Wonderware Historian), and AVEVA Insight: cloud-based analysis for industrial data.
    • OSIsoft – providers of the PI System real-time historian used to collect, store, contextualize, visualize and integrate process data.
    • RESTful systems – any web service that supports the REST (REpresentational State Transfer) standard.
  • Store the data when a connection goes down, and forward it when it is reestablished.
  • Connect segmented OT and IT networks via DMZs (when combined with the Tunnel/Mirror feature).

Tunnelling Historical Data

You can send data logged to the InfluxDB historian across a network to any supported historian. The DataHub’s Tunnel/Mirror feature passes the data securely, even via proxy servers and DMZs. Built-in store-and-forwarding ensures no data losses during network irregularities.  No VPNs, no open inbound firewall ports.

external historian tunnels diagram

Store and Forwarding for Cloud Connections

Connections to Amazon Kinesis, Azure IoT Hub, Amazon IoT Core, Google IoT, and other MQTT brokers now include built-in store-and-forward using the InfluxDB historian. Local data storage ensures no data losses during network irregularities. You gain the reliability of store-and-forward and local historical data visibility with a single configuration.

external historian cloud diagram

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