TDengine

TDengine is an AI-powered data historian built on a high-performance time-series database with an industrial data management layer and AI copilot.

Pricing model

Free Tier

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use TDengine to store, manage, and analyze massive amounts of time-series data from industrial operations. It combines a high-performance time-series database with an industrial data management platform that includes AI-powered analytics. You can collect data from sensors, machines, and equipment, then visualize trends, detect anomalies, and get operational insights. It handles millions of data points continuously and integrates with existing industrial protocols and systems.

What TDengine does

Ingest millions of sensor readings per secondQuery historical trends across multiple time rangesSet up automated alerts for threshold violationsCreate custom dashboards for different user rolesExport data to external analytics systemsConfigure data retention policiesBuild machine learning models on time-series dataIntegrate with existing SCADA systemsHandles 50+ million tags continuouslyBuilt-in AI copilot for data analysisNatural language query interfaceAuto-detects time-series anomaliesCross-platform Windows and Linux supportOpen source foundation with paid featuresReal-time data streaming via MQTTRole-based access controls

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

MQTT, Telegraf, Kepware, Sparkplug B, Excel, OPC UA / OPC DA, Grafana, Kafka, JDBC / ODBC, MySQL / PostgreSQL / InfluxDB, OPC-UA / OPC-DA, Prometheus, Google Data Studio, Power BI, Matlab, MQTT (3.1/5.0), Apache Kafka, MySQL / PostgreSQL, AVEVA PI System, Grafana (Native data source), MQTT (IoT protocol), Kafka (Data streaming), Telegraf (Data collection), OPC-UA (Industrial automation), Prometheus (Metrics export), JDBC/ODBC (Database connectivity), Python/Go/Node.js (Client SDKs)

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