TDengine

TDengine is an AI-powered data historian built on a high-performance time-series database designed specifically for Industrial IoT (IIoT) and Industry 4.0 scenarios.

Overview

TDengine combines a specialized time-series storage engine with an industrial data management platform (IDMP) and AI copilot capabilities. It handles real-time ingestion, storage, analysis, and distribution of petabytes of data per day from billions of sensors.

Key features

Core database

• High-performance storage engine: Optimized for time-series data with 10x performance at 1/10th the cost of alternatives
• SQL support: Full SQL querying capabilities designed for time-series workloads
• High cardinality: Optimized for millions of industrial devices and sensors
• Data compression: Automated tiered storage with S3 support for cost optimization
• Distributed architecture: Clustering support for horizontal scalability

Built-in capabilities

• Stream processing: Real-time stream engine continuously monitors data to generate KPIs and trigger alerts
• Read caching: Built-in caching layer for query performance
• Data subscription: Publish/subscribe mechanism for data consumers
• Edge-cloud sync: Bidirectional synchronization between edge and cloud deployments

AI and analytics

• TDgpt AI engine: Identifies behavioral deviations without manual rules
• Zero-query intelligence: Automatically delivers dashboards, insights, and KPI recommendations
• Process analytics: Batch comparison, trend analysis, and correlation capabilities
• Anomaly detection: ML-powered detection of unusual patterns
• Forecasting: Time-series prediction capabilities

Deployment options

TDengine TSDB (open source)

• License: AGPL-3.0
• Self-hosted time-series database
• Core features: ingestion, storage, SQL queries, clustering
• Community support via GitHub
• Free to use

TDengine Historian (commercial)

• Perpetual or annual licenses based on tag count
• Includes: TSDB + IDMP + AI agent + industrial connectors
• Standard support included
• Premium 24x7 support available
• Pricing: $5,000-$110,000/year depending on scale

TDengine Cloud (managed)

• Fully managed SaaS offering
• No infrastructure management required
• Automatic scaling and backups
• Pricing: $975-$5,217/month based on tag volume
• Free trial available

Integrations

Protocols and data sources

• MQTT
• OPC-UA
• Apache Kafka
• REST API
• Built-in ETL capabilities

Connectors

• Multiple programming languages (C, C++, Java, Python, Go, etc.)
• Grafana plugin for visualization
• Third-party tool ecosystem

Use cases

• Manufacturing operations monitoring
• Energy management (wind, solar, battery)
• Bioprocess data management
• Connected vehicle telemetry
• Financial time-series analysis
• Smart building and facility management

Limitations

• AGPL-3.0 license requires source code disclosure for distributed applications
• Primary development team based in China may affect Western support response times
• Smaller ecosystem than InfluxDB with fewer third-party integrations
• Learning curve for SQL extensions specific to time-series workloads
• Edge-cloud synchronization can be complex to configure for large-scale deployments