SiteWhere Integration

SiteWhere provides a lot of functionality out of the box, but one of its most powerful features is ease of integration with other platforms. Rather than reinventing the wheel, SiteWhere leverages other proven systems to expand its abilities.

SiteWhere provides software development kits for quickly integrating devices from popular hardware platforms. This allows users to focus on building applications rather than struggling with infrastructure.

Android Development Kit

SiteWhere has a complete end-to-end development kit for Android devices that allows connected applications to be quickly developed. Create your own SiteWhere/Android application by following the tutorial here;

Arduino Development Kit

SiteWhere provides libraries that allow Arduino devices to be quickly integrated with the system. The custom C libraries support MQTT interaction for devices that have enough memory to support it. More constrained devices can use REST for pushing data to SiteWhere. See the full tutorial here;

Java Agent / Commands Tutorial

SiteWhere provides an agent that can run on any Java-capable platform such as Raspberry Pi. By embedding the agent code, external systems or devices can quickly add SiteWhere connectivity. This tutorial walks though the basics of SiteWhere device specifications and commands. It also covers downloading, configuring, and running the Java agent.

Raspberry Pi Tutorials

SiteWhere is very well integrated with the Raspberry Pi platform and these tutorials will help with integration. Examples include integrating SiteWhere with Node-RED for developing device flows without the need for coding.

External Software Platforms

SiteWhere can be configured as middleware to push and pull data from external systems. This allows SiteWhere to integrate data captured by other systems, control devices proxied by other systems, or pass data along for other goals such as CEP and analytics.

Mule AnyPoint Platform

Mule AnyPoint is a world class ESB platform that makes it easy to integrate various technologies without having to write a lot of code. Integrating SiteWhere with Mule opens up a world of possibilities in working with your IoT data. Use the integration guide to start integrating your SiteWhere data with Mule AnyPoint.


SiteWhere supports integration with the popular openHAB open home automation project. The SiteWhere openHAB plugin (available on the downloads page) allows SiteWhere to store and process openHAB data. It also allows openHAB devices to be controlled directly from the SiteWhere REST services and administrative application. See the complete tutorial for an end-to-end example.

Apache Spark

Apache Spark Streaming is an extension of the open source Apache Spark platform that makes it easy to build scalable fault-tolerant streaming applications. SiteWhere support includes a custom receiver that streams events from a SiteWhere instance via Hazelcast. The event stream can then be manipulated via the standard Spark Streaming APIs and used as the input for machine learning and graph processing modules available in Spark. See the complete tutorial for an example application.

HTTP Requests

SiteWhere can be configured to accept HTTP requests from external platforms and parse the HTTP payload into device events. This tutorial walks through an example where data is posted via HTTP and parsed using a Groovy script to ingest the data into SiteWhere. This model can be used to implement web hooks and similar strategies for relaying external data in non-standard formats.

Data Storage and Visualization

SiteWhere can be configured as to persist data in many different types of storage engines. By using visualization technologies that support the engines, SiteWhere data can be graphed or visualized in other ways.


SiteWhere supports persisting event data to InfluxDB which provides a scalable solution for handling time series data for device events. Once the data has been stored in InfluxDB, Grafana can be used to visualize the data. See the complete tutorial for an example of sending SiteWhere data to InfluxDB and visualizing it in Grafana.