Tool overview
Daqstra is listed under Data Analytics AI tools.
What is Daqstra?
Daqstra connects test hardware, unifies live and historical data, and orchestrates physical R&D runs. Its Edge, Hub, and API layers target aerospace, energy, and robotics teams that need repeatable configurations, synchronized signals, automated analysis, and programmable control.
Best for
Engineering teams operating complex and repeatable physical test infrastructure
Who is it for?
Decision note
Rebuilt from the original export under V412/V411 independent factual verification. Preview only; Apply requires Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, reviewed explicit clears, image import disabled or V380 PASS, representative edit-screen comparison, and a zero-change post-Apply Preview.
Key features
Edge connectivity for DAQ, PLC, and custom hardware
Unified live and historical test data
Repeatable configurations and automated run orchestration
Python and REST interfaces for engineering workflows
Use cases
Operate aerospace propulsion tests
Coordinate energy-system experiments
Collect robotics hardware telemetry
Compare and analyze repeated test runs
Pros
- Built for fragmented physical test infrastructure
- Combines edge connection and cloud analysis
- Supports standard industrial protocols
Limitations
Commercial terms depend on hardware count, channels, sites, deployment, implementation, and support requirements.
Successful deployment requires accurate sensor configuration, calibration, networking, and safety processes outside the software itself.
Pricing details
Billing options
Custom enterprise agreement and implementation scope
Pricing note
Daqstra uses a demo-led enterprise model. Pricing depends on hardware, channels, test sites, deployment, implementation services, and support; no public numeric starting price is published.
Supported languages
- English
Integrations
NI hardware
Siemens PLCs
Modbus TCP
OPC UA
Custom TCP
Python
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