TDengine

Time-series database purpose-built for Industry 4.0 and industrial IoT. Handles real-time ingestion, storage, and analysis of petabyte-scale data from billions of sensors and data collectors, with a focus on high throughput and simplicity.

TDengine is trusted by over 1,000 industrial companies worldwide, with production deployments managing more than 50 million tags continuously. Used by enterprises such as McDonald's, Siemens, and CATL for smart manufacturing and operational data. Differentiates from alternatives like InfluxDB and PI System by offering standard SQL support and native clustering in its open-source edition, reducing lock-in and easing migration from legacy historians.

Key capabilities:

• SQL-compatible querying for time-series data
• High-throughput ingestion for billions of sensors and industrial devices
• Native clustering in the open-source TSDB edition
• Connectors for MQTT, Sparkplug B, Kepware, and Telegraf
• Client libraries for Go, Python, Java, Node.js, C#, Rust, and R
• Cloud and on-premises deployment options

Engineers use TDengine for industrial monitoring and control, smart grid and microgrid data, electric vehicle telemetry, battery manufacturing analytics, and fleet tracking. Integrates with existing data pipelines via standard protocols and SQL, supports Grafana and other visualization tools, and fits into DevOps workflows with Docker and Kubernetes deployment.