Free DataHub API for C++, Java, and .NET Opens Door to Live
Data
Full access to dynamic data for viewing and
modification in real time.
Georgetown, Ontario (May 11, 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, 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.
