TrendSpottr (http://trendspottr.com) is a real-time data analytics company that identifies and predicts trends within high volumes of streaming data. Utilizing a patent pending event-based processing model, TrendSpottr offers the fastest, most cost efficient and most scalable solution for analyzing and identifying trends within real-time data streams.
The company’s first product focuses on identifying real-time trending data (links, videos, images, phrases, hashtags and places) from Facebook and Twitter for any search term or topic of interest. Additional real-time data analytics products are being developed for the enterprise BI market and for the advertising and publishing markets.
TrendSpottr recently launched at DEMO Conference (see: http://bcove.me/pc0l6xso), was selected by ComputerWorld as one of the top 20 tech products (http://bit.ly/ieo21c) and was featured in The New York Times (http://nyti.ms/hWkoxP).