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Synnax

High-performance sensor database and operations framework designed for real-time hardware telemetry and control.

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Product Overview

What is Synnax?

Synnax is a specialized time-series database and operations platform tailored for hardware teams managing sensor and actuator data. It enables real-time communication, storage, and analysis of telemetry from thousands of channels with ultra-low latency. Built to handle demanding industrial and scientific environments, Synnax supports seamless integration of data acquisition, visualization, and automated control workflows. Its architecture combines high throughput data streaming with reliable storage, making it suitable for complex systems requiring tight feedback loops and precise hardware control.


Key Features

  • Purpose-Built Time-Series Database

    Engineered specifically for hardware sensor data, delivering exceptional write and read throughput exceeding millions of samples per second.

  • Real-Time Data Streaming and Control

    Supports low-latency streaming for live visualization, actuator control, and continuous automated analysis.

  • Scalable and Flexible Architecture

    Operates efficiently from small bench-top setups to distributed teams managing thousands of sensor channels.

  • Extensible Client Libraries

    Provides C++, Python, and TypeScript libraries enabling easy integration with custom applications and GUIs.

  • Integrated Visualization and Control Tools

    Includes React components and pre-built device integrations for National Instruments hardware and PLCs via OPC UA.

  • Combined Data Storage and Streaming

    Enables workflows that unify permanent data storage with live data streaming, simplifying complex hardware operations.


Use Cases

  • Industrial Hardware Monitoring : Real-time telemetry collection and analysis for complex machinery such as rocket engines and manufacturing equipment.
  • Automated Control Systems : Implement feedback loops that use live sensor data to control actuators and optimize hardware performance.
  • Scientific Experimentation : Capture and analyze high-frequency sensor data streams for research and testing environments.
  • Distributed Sensor Networks : Coordinate data acquisition and control across multiple devices and locations with scalable infrastructure.
  • Custom Hardware Interfaces : Develop tailored applications using client libraries and visualization components for specialized hardware setups.

FAQs

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