DASYLab Real-time Data Acquisition and Control System
Supervisory control and data acquisition (SCADA) software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is DASYLab Real-time Data Acquisition and Control System
DASYLab Real-time Data Acquisition and Control System is a Windows-based software environment for acquiring, visualizing, logging, and controlling measurement and automation signals. It is used by test, measurement, and industrial engineering teams to build data acquisition and control applications using a graphical, module-based workflow rather than traditional programming. The product focuses on rapid configuration of sensor/DAQ inputs, real-time processing, and reportable data logging for lab, pilot, and light industrial use cases.
Graphical workflow configuration
The product uses a drag-and-drop worksheet model to build acquisition, analysis, and control flows without writing code. This approach can reduce development time for engineers who need to prototype or modify signal processing and control logic frequently. It also makes it easier to document how data moves from inputs through processing to outputs compared with ad hoc scripts.
Real-time acquisition and control
DASYLab supports real-time data acquisition with on-the-fly processing and control outputs, which fits test stands and measurement-driven control loops. It combines visualization, alarming-style behaviors, and logging in a single runtime environment. This can be practical for small-to-mid deployments where a full plant-wide SCADA stack is not required.
Broad measurement I/O integration
The software is designed to interface with a range of data acquisition hardware and signal types common in instrumentation environments. It provides configurable modules for conditioning, analysis, and display that can be assembled per project. This helps teams integrate sensors and DAQ devices without building custom drivers for each experiment or station.
Not a full SCADA platform
Compared with plant-scale SCADA systems, DASYLab is typically oriented toward workstation or small system deployments rather than centralized multi-site operations. Capabilities such as large-scale tag management, enterprise historian integration patterns, and extensive role-based operations workflows may require additional products or custom engineering. Organizations seeking standardized, plant-wide HMI/SCADA governance may find it less aligned.
Windows-centric deployment model
DASYLab is primarily deployed on Windows PCs, which can limit options for containerized, Linux-based, or edge-appliance standardization. High-availability architectures and server redundancy patterns common in larger SCADA environments may be harder to implement. This can increase operational overhead when scaling beyond a few stations.
Integration and security depend on design
Connecting acquisition/control workstations to operational networks introduces security and segmentation requirements that are not solved by configuration alone. Integration with OT security monitoring, centralized identity, and audit controls may require external tooling and careful architecture. Teams may need additional effort to meet regulated or high-criticality OT cybersecurity expectations.
Seller details
NI (National Instruments Corporation), a subsidiary of Emerson Electric Co.
Austin, Texas, USA
1976
Subsidiary
https://www.ni.com/
https://x.com/ni
https://www.linkedin.com/company/ni/
