DataTurbine is a robust real-time streaming data engine that lets you quickly stream live data from experiments, labs, web cams and even Java enabled cell phones. It acts as a “black box” to which applications and devices send and receive data. Think of it as express delivery for your data, be it numbers, video, sound or text.
DataTurbine is a buffered middleware, not simply a publish/subscribe system. It can an receive data from various sources (experiments, web cams, etc) and send data to various sinks. It has “TiVO” like functionality that lets applications pause and rewind live streaming data
DataTurbine is open source and free. There is also an active developer and user community that continues to evolve the software and assist in application development. This guide is designed as a first step to learning and deploying DataTurbine.
Why Use Data Turbine
- Extendable: It is a free Open Source project with an extensive well documented API.
- Scalable: It uses a hierarchical design that allows a network structure that grows with the requirements of your application
- Portable: DataTurbine runs on devices ranging from phones & buoys to multicore servers.
- Dependable Using a Ring Buffered Network Bus, it provides tunable persistent storage at key network nodes to facilitate reliable data transport
- Community There is also an active developer and user community that continues to evolve the software and assist in application development.
What Do I Need to Get Started
- Understand how DataTurbine fits into your application
- Download, install, and run DataTurbine on a local system
- Plan out a network topology
- Set up servers, sources, and sinks
- Expand on your architecture