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TDengine: High-Performance Time-Series Database for IIoT & IoT
TDengine is an open-source, high-performance, scalable time-series database specifically designed and optimized for Internet of Things (IoT), Industrial IoT (IIoT), connected cars, and IT infrastructure monitoring.
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Added on 2025年7月5日24,074
Stars4,932
ForksC
LanguageProject Introduction
Summary
TDengine is a purpose-built time-series database engineered for performance, scalability, and cost-effectiveness in massive time-series data scenarios, particularly prevalent in IoT and IIoT applications.
Problem Solved
Traditional databases struggle with the massive volume, high velocity, and specific query patterns of time-series data generated by IoT and IIoT devices. TDengine addresses these challenges with its purpose-built architecture.
Core Features
Ultra-Fast Data Ingestion
Designed for incredibly high data ingestion rates, handling millions of data points per second from potentially millions of devices.
High Compression Ratio
Optimized data structures and compression techniques significantly reduce storage space requirements for large volumes of time-series data.
Tech Stack
C/C++
Distributed Systems
Time-Series Data Structures
SQL Interface
Compression Algorithms
Use Cases
TDengine is designed for a wide range of applications requiring efficient handling and analysis of time-stamped data.
Industrial IoT (IIoT) Monitoring
Details
Collect, store, and analyze data from factory sensors for predictive maintenance, quality control, and operational efficiency improvements.
User Value
Enable real-time insights into manufacturing processes, reducing downtime and optimizing production.
Smart Energy Management
Details
Manage sensor data from smart grids, renewable energy sources, and energy consumption points for monitoring, forecasting, and load balancing.
User Value
Improve grid stability, optimize energy distribution, and support the integration of renewable energy.
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