How it helps your business

Best for:Energy & UtilitiesManufacturing (Industry 4.0)Automotive & Connected CarsSmart Cities & InfrastructureIT Ops & Application Monitoring
TDengine is an open-source, purpose-built time-series database designed for the massive data volumes and high-speed requirements of the Internet of Things (IoT). Unlike general-purpose time-series databases, TDengine provides an all-in-one solution that includes caching, stream processing, and event-driven data handling, significantly reducing the complexity of IoT architectures.
It is engineered to handle massive numbers of data sources (meters, sensors, or devices) and provides a unique "one-table-per-device" modeling approach that ensures high-speed ingestion and instant querying even under heavy load. By collapsing multiple layers of the typical IoT backend into a single system, TDengine helps organizations lower their total cost of ownership and accelerate deployment.
Self-hosting TDengine gives industrial and infrastructure teams the performance and reliability needed for mission-critical monitoring while keeping sensitive operational data local and secure.

Key Benefits

  • Extreme Throughput: Ingest millions of items per second on a single instance.
  • Simplified Stack: Replace Redis, Kafka, and the database with one TDengine cluster.
  • Cost Efficient: Drastic reduction in cloud storage and CPU costs compared to InfluxDB or Timescale.
  • Developer Friendly: Use standard SQL for everything—no complex new query languages to learn.
  • Cloud-Native Resilience: Built to run on Kubernetes with automated failover and scaling.

Production Architecture Overview

A production TDengine (v3.0+) cluster consists of:
  • dnodes (Data Nodes): Handle data storage, query processing, and management.
  • mnodes (Management Nodes): Manage cluster metadata and node status (distributed).
  • qnodes (Query Nodes): Dedicated compute resources for complex aggregations.
  • Load Balancer: Standard TCP/HTTP load balancer to distribute client requests.
  • Persistent Storage: Local high-speed NVMe/SSD for hot data and HDD/S3 for archival.

How we deploy this for you

Security Hardened

Firewalls, SSL, and hardened kernels out of the box.

Performance Tuned

Optimized for speed with cache and DB fine-tuning.

Automated Backups

Daily off-site backups so you never lose your data.

Private Cloud

You own the server and the data. No middleman.

Implementation Blueprint

Prerequisites

sudo apt update && sudo apt upgrade -y
sudo apt install docker.io docker-compose -y
sudo systemctl enable docker
sudo systemctl start docker
shell

Docker Compose Production Setup (Standalone Instance)

Ideal for edge deployments or smaller industrial monitoring setups.
version: '3'

services:
  tdengine:
    image: tdengine/tdengine:latest
    container_name: tdengine
    ports:
      - "6030:6030"
      - "6041:6041"
    volumes:
      - tdengine_data:/var/lib/taos
      - tdengine_log:/var/log/taos
    environment:
      - TAOS_FQDN=tdengine
    restart: always

volumes:
  tdengine_data:
  tdengine_log:

Kubernetes Production Deployment (Recommended)

Deploy using the official TDengine Helm chart for high-availability clusters.
helm repo add tdengine https://helm.tdengine.com
helm install tdengine tdengine/tdengine --namespace iot-system --create-namespace
Benefits:
  • StatefulSet Management: Guarantees pod identity and stable storage for dnodes.
  • Automatic Scaling: Increase dnode replicas as your device count grows.
  • Persistent Volume Claims: Automatically attach high-speed cloud storage to your database nodes.

Scaling Strategy

  • Increase vnodes: Adjust the number of virtual nodes (vnodes) per dnode to maximize CPU utilization.
  • Separate Management Nodes: In large clusters, run mnodes on dedicated, isolated pods.
  • Tiered Storage: Use TDengine's tiered storage configuration to move data older than 30 days to S3-compatible object storage.

Reliability & Monitoring

  • Raft Redundancy: Configure at least three replicas for critical data to ensure continuous operation during node failure.
  • Grafana Integration: Use the official TDengine Grafana plugin for real-time operational dashboards.
  • Backup Tool: Use taosdump for full and incremental logical backups of individual databases or the entire cluster.

Best place to host TDengine

We recommend Hostinger for its reliability and low cost. It's the perfect home for your new apps, featuring easy setup and 24/7 support.

Get Started on Hostinger

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