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machbase-neo

✓ Data platform for the Physical AI era, powered by a high-performance time-series database
✓ Scalable from edge devices (Raspberry Pi) to high-end servers
✓ Ingest, transform, and visualize data from the physical world
✓ Real-time monitoring of field data with dashboards
✓ Easy to install - instant download and run
✓ Easy to learn - familiar SQL with Tables and Columns
✓ Easy to write and query via HTTP, MQTT, and SQL
✓ Bridge to SQLite, PostgreSQL, MySQL, MSSQL, MQTT Broker, NATS

Get Started Download LATEST v8.7.0

machbase-neo is a data platform for the Physical AI era, built on the high-performance Machbase time-series database engine implemented in C. It collects, stores, transforms, and visualizes time-series data generated in the physical world—by robots, autonomous systems, smart factories, and edge devices—and serves it in a form that applications and AI models can use directly for training and inference. By combining real-time MQTT ingestion, HTTP-based SQL access, TQL transformation, dashboards, and bridges to external systems, machbase-neo turns field data into AI-ready datasets and services. Its lightweight architecture runs across a wide range of environments, from edge devices to high-end servers.

Download

Paste the script below into the shell prompt for the latest version of the platform.

sh -c "$(curl -fsSL https://docs.machbase.com/install.sh)"

Data Visualization

Data transformation and visualization language TQL is supported out of the box.

  • TQL is the DSL for data transformation.
  • CHART() for the data visualization.
  • SCRIPT() for implementing custom logic.

Geodetic data visualization.

Dashboard

Realtime data monitoring on the fly.

API and Interfaces

  • HTTP : Applications and edge devices read/write data via HTTP REST API
  • MQTT : Robots, machines, and edge devices write data via MQTT protocol (MQTT v3.1.1 & v5)
  • SSH : Command line user interface via ssh
  • GUI : Web user interface

Bridges

Integration with external systems

  • SQLite
  • PostgreSQL
  • MySQL
  • MS-SQL
  • MQTT Broker
  • NATS

Contributing

We welcome and encourage community contributions to documents and examples for other developers. Typo and broken link fixes are appreciated.

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