tencent cloud

TencentDB for CTSDB

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
Privacy Policy
Data Privacy and Security Agreement
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Overview

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Last updated: 2025-04-24 17:12:00
TencentDB for CTSDB 3.0 is a newly launched distributed database cluster by Tencent Cloud. It is used for high-performance read and write of massive time series data. It is compatible with the open-source InfluxDB protocol and has capabilities such as auto scaling as needed, hot and cold tiering storage, and aggregated data analysis. It is applicable to business scenarios such as IoV, DevOps monitoring data, application metric data, IoT sensor data, and log parsing.
Compatibility: Compatible with the InfluxDB protocol, allowing businesses to fully utilize InfluxDB's efficient data structures, protocol APIs, and ecosystem.
Data tiering: Supports dividing data into hot and cold tiers based on different time periods and configuring the storage time and compression specifications of data flexibly in memory, disk, and cold storage, enabling automatic data flow between tiers.
High performance: Enhances read/write performance with data tiering, streaming query, operator pushdown, and powerful aggregation calculation.
Auto scaling: Compute nodes automatically scale based on demand using Kubernetes. The storage layer data can be automatically scaled, allowing dynamic adjustments to the number of partitions.
Intelligent Ops: Provides a wide range of monitoring metrics such as latency, network performance, read/write performance, and resource utilization, helping businesses get early warning of risks and locate and solve problems quickly.

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