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Data Stream Designer: What is the difference between a connector and an agent?
If you are still learning how the Data Stream DesignerIs a model-driven approach to connect, transform and action real-time “streaming” data in a visual, drag and drop manner. works and have been reading through the documentation, you might have come across two terms: “Connector” and “Agent”. Even though these two terms can seem like they might be the same thing, especially if you are familiar with our BPM suite, they are very different. The main difference between them relates to the environment where they are used.
Connectors
Are used in our BPM environment. They allow you to connect to third-party systems using a custom-written plugin framework, known as XMConnect. Examples of some of the connectors we have available include:
- Adaptive Case
- ArcGIS
- Decision MatrixIs a decision-support tool that allows users to systematically reach a single or multiple outcome conclusion when several conditions and values have to be evaluated. The conclusion is always either one or many user(s) or group(s) of users, depending on how the matrices are configured. Decision Matrix conclusions are typically used to determine process flow routing, i.e. who will be the next to act in the process.
- MSWord
- CRM
For more information on which connectors we have, refer to this page:
Also, please see the list below for helpful video’s when using XMConnect:
Agent
Is used in our IoTThe Internet of Things (IoT) is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data. environment, known as the Data Stream Designer. An agent is defined as a “reusable component that functions as a building block for streams”. Agents generally perform one specific functionIs a Stream Objects that performs mathematical and statistical operations. in a data streamConsists of a combination of Stream Objects allowing real-time data to flow through. It is created to address a particular use case., for example getting context from a SQL Server database or sending an email.
XMPro has an entire library of agents ready and available for use. The list, along with additional information about each agent can be found here.
If you would like to use any of the agents in the list above, you may request them by reaching out to us at [email protected] or contacting your XMPro sales representative. There are also several free agents available on GitHub.
Further reading:
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