Historians and Analytics
Store and retrieve your data
Store your data in a 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 exchange data with historians and ingestion tools from any of these providers to support and improve analytics:
- 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 Historian – a plant-scale industrial historian (formerly Wonderware Historian).
- AVEVA Insight – cloud-based analysis for industrial data.
- AVEVA PI – 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.
- OPC Classic HDA Client – a widely used industrial historical database format for collecting data from OPC HDA servers.
- Azure Event Hubs – a popular data input source for Microsoft Azure Stream Analytics.
- Apache Kafka – an open-source platform for event store and stream processing developed by the Apache Software Foundation for handling real-time data feeds.
- ODBC Historian – virtually any SQL-style database such as Microsoft SQL Server, MySQL, AVEVA PI, Oracle, and many more.
- 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.
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.
InfluxDB® and InfluxDB Cloud™ are trademarks registered or owned by InfluxData, which is not affiliated with, and does not endorse, this site.
