Whether you want to use MQTT Sparkplug, the Web API, ODBC, or OPC HDA, Canary makes it easy to publish your data to third party applications. You can use these tools to connect your Canary databases to other industry analytic tools, including AWS, Flow Software, ESRI, Spotfire, Seeq, IBM Maximo, PowerBI, and more.
Choose the tags, Virtual Views, or asset models you wish to publish, configure the location of the MQTT broker, and the Canary MQTT Publisher will publish your tag values on change in real time. Not only does this tool provide an easy way to communicate with you existing MQTT infrastructure, but it also unlocks the potential to move your data into AWS and other cloud service platforms.
If you want to develop your own custom connection, use the included Canary Web API. Documentation is thorough and can be found in the Canary Knowledge Base. The Canary Web API connects through the Views Service and gives you access to raw data, aggregated process data, Canary Events, Virtual Views, calculated tags, and more. Additionally, you can create custom Publish Services to communicate the latest tag values of your choosing via JSON over WebSocket.
Have clients that need to make SQL queries? The ODBC Connector should do just the trick. Licensed seperately from the Canary System, you can use the ODBC Connector to expose the Canary Historian, Virtual Views, and Events in an 'SQL-like manner' to client tools that utilize ODBC.
Every Canary System includes an OPC HDA Server. This helpful tool allows you to connect OPC HDA enabled client tools directly to the Canary Historian to consume data. Since all data published to the Canary Historian is made available to the OPC HDA Server you can gather both historic and latest known tag values.