Release Notes and Announcements

Release Notes

Announcements

Product Introduction

Overview

System Architecture

Use Cases

Key Concepts

Instance Types and Specifications

Purchase Guide

Product Pricing

Purchasing an Instance

Renewal Instructions

Overdue Payment Instructions

Refund Instructions

Getting Started

Connecting to an Instance and Writing Data

Operation Guide

CAM

Managing an Instance

Automatic Backup

System Monitoring

Database Management

Account Management

Managing a Security Group

Public Network Access

InfluxQL Compatibility

Database Management

Schema Query

Data Type

Data Query

InfluxQL Functions

Client

SDK Reference

influx CLI Client

API Documentation

History

Introduction

API Category

Making API Requests

Instance APIs

Database APIs

Data Types

Error Codes

Practical Tutorial

Recommendations for the Data Table Definition

Using the Grafana Service

Integrating the Telegraf Service

Performance White Paper

Test Environment

Testing Tool

Write Performance Test

Query Performance Test

FAQs

Glossary

CTSDB Policy

Data Privacy and Security Agreement

Use Cases

PDF

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Last updated: 2025-04-24 17:12:00

TencentDB for CTSDB 3.0 has efficient time series data storage and analysis capabilities, and can be widely used in scenarios such as Internet of Vehicles (IoV) dynamic information storage, real-time Ops monitoring platforms, and Internet of Things (IoT) device monitoring and analysis.
IoV
In the context of IoV, real-time analysis of vehicle safety, driving trajectories, vehicle component health monitoring, and network quality analysis generate vast amounts of time series data, and storage costs and performance have become double challenges. CTSDB 3.0 can automatically tier and store data, seamlessly moving the cold data to cold storage, and supports stream computing and operator pushdown, effectively addressing data storage challenges in the IoV scenarios.
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Real-Time Monitoring
The system Ops Monitoring platform includes various types of monitoring data such as application performance monitoring, foundational service monitoring, and large-scale machinery running monitoring across different industries. These data are typical time series data and are suitable for storage in CTSDB. CTSDB 3.0 supports high-throughput write performance and precise aggregation analysis, enabling Ops personnel to quickly and efficiently, analyze monitoring data in real time, thus facilitating automated Ops. Leveraging the visualization capability of CTSDB 3.0, you can easily create real-time monitoring dashboards to help Ops personnel better analyze and display monitoring data.
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IoT 
In IoT/IIoT scenarios, various equipment, sensors, and environmental data are collected by sensors and transmitted in real time to the control system, facilitating real-time monitoring, fault prediction, trend forecasting, and data visualization of equipment running status, workshop environments, and production conditions for Ops personnel. These data feature large volume, excellent real-time performance, and ordered time. CTSDB 3.0 has high-throughput write performance, low-cost tiered storage, precise aggregation analysis, and rich visualization dashboard display capabilities, making it an ideal choice for IoT applications.
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