The TICK Stack is a collection of associated technologies which combine to deliver a platform for storing, capturing, monitoring and visualizing data that is in time series. The TICK stack consists of the following technologies:
As we can see from this tech stack, TICK is perfect for monitoring IoT devices in real-time to automate complex systems such as a manufacturing plant.
Basic Feature Set of TICK
As this is a combination of technologies, it is best to introduce the key features of each part of the TICK stack thus:
The Main Benefits of Using TICK
The TICK stack offers some pretty comprehensive benefits to developers who choose to use it. TICK offers true real-time analysis of data streams, as well as on-the-fly processing and computation.
When this capability is combined with the fact that historical data can be aggregated into a real-time stream at the same time, the possibility to perform not only real-time analysis but also historic analysis exists. This delivers the capability to use TICK to implement a solid predictive analytics platform.
TICK is rapid to implement, and because it is distributed under an open source license, the cost of ownership is relatively low once developers are up to speed.
Use Cases for TICK
TICK aligns well with many potential use cases. It especially fits uses which rely upon triggering events based on constant real-time data streams. An excellent example of this would be fleet tracking. TICK can monitor the fleet data in real-time and create an alert condition if something out of the ordinary occurs. It can also visualize the fleet in its entirety, creating a real-time dashboard of fleet status.
IoT devices are also a strong point for TICK. Solutions that rely upon many IoT devices combining date streams to build an overall view, such as an automated manufacturing line, work well with TICK. TICK can trigger alert events, and visualize the entire status of a production line easily.