Guavus Reflex Platform
Empowering Service Providers, Enterprises and Partners with Advanced Big Data Analytics
Proven at the world’s most demanding customers, Guavus is at the forefront of streaming big data analytics, artificial intelligence and machine learning innovation. The Guavus Reflex® platform was designed from the start for real time and near real time streaming applications which require advanced analytics, very high scale and performance, rapid time to market and mission-critical reliability in production. Guavus Reflex is designed to turn data into insights, decisions and closed loop actions in the shortest possible time and at the lowest possible cost.
Guavus Reflex comprises two major components. First, we have drawn upon 10 years of pioneering big data experience to create a big data pipeline leveraging best-of-breed open source big data components selected for their performance, and integrated them into a hardened platform. The second component is the Guavus Reflex Analytics Engine. The Analytics Engine starts from a comprehensive and extensible set of machine learning algorithms. To these, our team of scientists have added artificial intelligence or “reasoning”. Artificial intelligence enables the Analytics Engine to draw logical inferences even when presented with patterns of events which have not been seen before and in which therefore it has not been trained on.
Guavus Reflex is built to enable platform users to turn their own subject matter expertise into big data, intelligent applications rapidly and easily. Guavus has seen too many businesses fail when they attempt to implement advanced analytics applications because they get stuck trying to understand and integrate the many advanced technologies required. Reflex is built to eliminate these issues. Not only has Guavus pre-integrated a comprehensive set of technologies, but our platform pre-assembles these components into higher level services which are easily invoked to create advanced analytics applications.
The Guavus Reflex® distributed architecture is the most flexible available today and can be deployed in a distributed or centralized model. Rather than transporting all the data back to a central site to be processed there, Guavus’ platform is based on a distributed architecture for optimal handling of data from separate silos. Regional sites can have smaller implementations of Reflex running at each site, performing the same advanced analytics at edge, in real-time.
By collecting data and analyzing it at the edge, the amount of time needed to trigger closed-loop actions or act upon the insights provided is significantly reduced and workflow inefficiencies downstream are removed. The contextualized data can be then sent back to a central site in regular intervals, aggregating the regional findings and drawing further conclusions, including information from all sites and triggering further automated actions if desired. Data can be stored in the Guavus platform or fed to a central data lake.