High-Performance, Scalable Time-Series Database for Industrial IoT

From predictive maintenance and remote monitoring to AI and ML, the latest industrial applications all have one thing in common — a reliance on large, high quality datasets. And no database better helps you gain real-time insights than TDengine™, the only time-series database designed for Industrial IoT.

10x Higher Performance at Any Scale

With its distributed scalable architecture that grows together with your business, TDengine can store and process massive datasets up to 10.6x faster than other TSDBs — all while providing the split-second latency that your real-time visualization and reporting apps demand.

High Performance Distributed Design

90% Reduction of Data Storage Costs

With its unique design and data model, TDengine provides the most cost-effective solution for storing your operations data, including tiered storage, S3, and 10:1 data compression, ensuring that you can get valuable business insights from your data without breaking the bank.

Tiered Storage High Compression

Zero-Code Data Consolidation Across Sites

With built-in connectors for a wide variety of industrial sources — MQTT, Kafka, OPC, PI System, and more — TDengine delivers zero-code data ingestion and extract, transform, and load (ETL) in a centralized platform that acts as a single source of truth for your business.

Data Consolidation Data Sources

Comprehensive Solution for Industrial Data

With out-of-the-box data subscription, caching, and stream processing, TDengine is more than just a time-series database — it includes all key components needed for industrial data storage and processing built into a single product and accessible through familiar SQL statements.

Comprehensive Solution

AI Agent for Time-Series Analytics

TDgpt is a built-in component of TDengine that provides time-series data forecasting & anomaly detection, supporting AI/ML, including time-series foundation models and large language models, as well as traditional statistical algorithms, all in a single SQL statement.

TDgpt

Proudly Open Source

TDengine is built on the open-source time-series database TDengine OSS

Develop applications with TDengine’s client libraries in your favorite programming language

Modern Solutions for Modern Industrial Applications

Predictive Maintenance

TDengine provides the ideal data backbone for powering IIoT predictive maintenance initiatives to optimize operations, reduce downtime, and enhance decision-making across industries like process manufacturing, renewable energy, and oil & gas.

Our Solution

High-Frequency Data

TDengine efficiently handles high-frequency data ingestion, compresses data to reduce storage costs, and enables fast querying for real-time monitoring and analysis in industrial applications.

Our Solution

Condition Monitoring

With its high ingestion rate, efficient storage, real-time processing capabilities, seamless scalability, and integrated solutions, TDengine is the ideal choice for condition monitoring in any industrial setting.

Our Solution

Operational Efficiency

With its high ingestion rate, efficient storage, real-time processing capabilities, seamless scalability, and integrated solutions, TDengine is the ideal choice for optimizing operational efficiency across various industries.

Our Solution

Start in 60 Seconds

Exploring a new system shouldn’t require a big investment — of time or money. Instead of spending months in contract negotiations, get started with TDengine Cloud in a few seconds with no upfront costs. With standard SQL support, zero-code integration with a variety of data sources, and client libraries for popular programming languages, TDengine makes digital transformation easier than ever.

Latest Updates

by Jeff Tao
March 26, 2025

TDgpt is an external analytics system that integrates seamlessly with TDengine, embedding time-series analysis services TDengine’s query execution flow.

by Joel Brass
March 25, 2025

This article provides a guide for quickly setting up a TDgpt test environment and performing anomaly detection in an operations monitoring scenario.

by Joel Brass
March 25, 2025

This article sets up a TDgpt test environment and walks through the process of day-ahead wind power forecasting at a 15-minute resolution.

by Joel Brass
March 25, 2025

This article sets up a TDgpt test environment and demonstrates the process of day-ahead electricity demand forecasting.

The performance advantages shown by this evaluation indicate that TDengine excels at time-series data processing, especially with larger datasets and more complex queries.

Edge–cloud synchronization architecture has gradually become an important pillar supporting the development of the industrial Internet.