DataHub API

Application Programming Interface
The DataHub APIs are a fully open set of application development interfaces that allow you to connect custom programs to the Cogent DataHub in Windows and Cascade DataHub in Linxu and QNX. These APIs are provided with both object code and source code examples and set out a very simple set of commands that allow you to both read and write data to the DataHub.

C, C++, .NET and Java APIs
The following Cogent APIs are available:

• The DataHub APIs for Windows systems (C++, Java and .NET)
• The Cogent APIs for Linux and QNX systems (C and C++)

DataHub APIs for Windows

• The DataHub API for C++ lets you write programs in C++ that connect to the DataHub over TCP, namely LAN, WAN, or the Internet.
• The DataHub API for Java lets you write programs in Java that connect to the DataHub over TCP, namely LAN, WAN, or the Internet. In addition, it lets you create web browser applications that receive and display live data from the DataHub.
• The DataHub API for .NET lets you write programs in .NET that connect to the DataHub over TCP, namely LAN, WAN, or the Internet. This API is implemented in C#, but can be used with any .NET language.

DataHub APIs for Linux and QNX
The Cogent C API lets you write high-speed clients that can interact with the Cascade DataHub and other Cogent programs for Linux and QNX. It works in Linux, QNX 6, and QNX 4. Interprocess communication relies on Send/Receive/Reply message passing. In Linux, this is supported by Cogent's SRR Module. In QNX, this is supported by QNX's own Send/Receive/Reply protocol.

The DataHub API for C++ is also provided in the Cogent C API archive, but this API is only supported under Linux and QNX 6.

Vendor: Cogent Real-Time Systems

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Founded in 1995, Cogent Real-Time Systems is the leader in real-time cross-platform data integration between Windows, Linux and QNX. Cogent serves industrial markets worldwide, primarily in North America, Europe, and Asia. Our clients are end-users and systems integrators who value high reliability and ease of use when connecting data-centric software in mission-critical systems.