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InfluxDB: 高性能时间序列数据库
InfluxDB is a high-performance data store built specifically for time series data. It is ideal for metrics, events, and real-time analytics, offering high ingest and query performance.
Rust
Added on 2025年6月19日30,191
Stars3,618
ForksRust
LanguageProject Introduction
Summary
InfluxDB is an open-source time series database designed to handle high write and query loads. It's commonly used for monitoring, application metrics, Internet of Things (IoT) data, and real-time analytics workloads.
Problem Solved
Traditional databases are not optimized for the high-volume, time-stamped data generated by modern systems and IoT devices, leading to performance bottlenecks and complex queries. InfluxDB is designed from the ground up to handle this workload efficiently.
Core Features
Time Series Native Storage
Optimized storage and compression for time series data, reducing storage footprint and increasing query speed.
Powerful Query Language
Includes a purpose-built query language, InfluxQL (or Flux in newer versions), optimized for time series analysis.
Tech Stack
Go
Time Series Database
Metrics
Events
Analytics
使用场景
InfluxDB is suitable for any use case involving large volumes of time-stamped data that require high-performance storage and querying.
基础设施和应用监控
Details
Collect metrics from servers, containers, and applications using agents like Telegraf to monitor system health and performance in real-time.
User Value
Enables proactive identification and resolution of performance issues, ensuring system stability.
物联网 (IoT) 数据平台
Details
Gather and analyze time-series data from connected devices, smart meters, or industrial sensors to optimize operations and provide real-time insights.
User Value
Provides a scalable backbone for storing and analyzing massive streams of sensor data from distributed sources.
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