The OAS Universal Data Connector gives you unparalleled access to your industrial operations and enterprise data for connectivity, monitoring, analytics, and delivery. Connect directly to PLCs, OPC servers, files, databases, and IoT platforms to create world-class SCADA systems or industrial automation solutions.
Thousands of customers worldwide rely upon the OAS Platform for moving, monitoring, and connecting data. Just a few of the possibilities you can realize with OAS include:
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Built upon a Distributed Network Architecture that enables advanced Edge Computing deployments, reliability, and performance for IIoT
Moving data to IoT platforms such as Amazon Web Services (AWS), Azure IoT or any MQTT broker can be easily configured.
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Set simple or complex alarm conditions on data points and trigger automated notifications via email, SMS, or voice mail messaging.
Thousands of customers worldwide trust OAS, including
With components and libraries for , Web applications, and even native iOS and Android apps, developers are able to deliver Visualization and Automation solutions to any platform.
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Visualize and control real-time data and provide operators with customized HMIs, complete with secure access.
Capture data from devices and transport to cloud-based IoT hubs for warehousing or predictive analytics and scheduled maintenance
Read and write data to Allen Bradley, Siemens, and Modbus devices, OPC and OPC UA, open databases, and Excel.
The OAS Universal Data Connectors was architected for infinite deployment configurations. Using a combination of server-to-server connectivity, native device drivers, and visualization tools an OAS solution can be created to meet your needs.
With direct PLC, and IoT connectors, the Universal Data Connector and its network architecture are the core of the OAS Platform.
High-speed, fault-tolerant logging to popular open data formats and RDMS systems such as Oracle, SQL Server, mySQL, and more.
Transport and transform data between sources, log data to open formats at unmatched speeds, or even aggregate data from disparate sources