Now you can stream raw or processed data to anyone in your organization, whenever and wherever they need it
Georgetown, ON (PRWEB) May 16, 2005
Cogent Real-Time Systems announced the release of a free API for their Cascade DataHub that gives programmers access to dynamic data for monitoring, conditioning and manipulation, and opens possibilities for connections to legacy programs.
Available in three popular languages--C++, Java, and C#--the DataHub API uses a straightforward, object-oriented syntax to interact with the streaming data collected and distributed by the Cascade DataHub. Embedding dynamic data in web browsers, filtering and conditioning data in real time, or creating interfaces to legacy applications can be accomplished with just a few lines of code.
"Now you can stream raw or processed data to anyone in your organization, whenever and wherever they need it," said Mr. Andrew Thomas, president of Cogent. "Connect Excel or a web browser to any data source for viewing or interaction. Live reports, dashboards, and interactive displays. The only limit is your imagination."
The technology fits into a wide range of real-time applications, from financial systems to industrial process control to remote monitoring and telemetry. The DataHub API allows engineers, traders, executives, and other professionals to get the data they need to make time-critical decisions.
The Cascade DataHub lets users share real-time data among any number of applications using standard protocols and an easy-to-implement, scalable technology. It creates dynamic data links among Windows or Linux computers, over the Internet or on local area networks. With the introduction of the DataHub API for C++, Java, and .NET, real-time data is now available to virtually any custom Windows application.
Founded in 1995, Cogent Real-Time Systems is a leading developer of middleware solutions that connect sources and consumers of live data. Customers include the Bank of Canada, Cadbury Chocolate and the European Space Agency. Cogent leverages its experience in developing real-time systems to create data transport models for time-sensitive applications.
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