tencent cloud

Tencent Cloud TCHouse-C

Release Notes
Product Introduction
Overview
Basic Concepts
Cluster Architecture
Strengths
Use Cases
Purchase Guide
Billing Overview
Expiration and Payment Overdue
Refund
Configuration Adjustment Billing
Getting Started
Operation Guide
Cluster Management
Parameter Configuration
Monitoring and Alarming
Hot/Cold Data Tiering
Account and Authorization
Query Management
Log Search
Data Dictionary
Backup and Restore
Multi-ZooKeeper Cluster
External Data Import
Configuring DDL on Cluster Feature
Data Redistribution
Scale-in and Migration
Development Guide
Database Engine
Table Engines
ClickHouse SQL Syntax Reference
ClickHouse Client Overview
Self-Built ClickHouse Migration Solution
Service Level Agreement
CDWCH Policy
Privacy Policy
Data Privacy and Security Agreement
FAQs
Contact Us
Glossary

Strengths

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Last updated: 2025-03-31 14:46:28

Ease of Use

You can create a ClickHouse analysis cluster in minutes in the console. A diversity of features such as OPS management, monitoring, and alarming free you from underlying infrastructure management and let you focus on analyzing data value with complete SQL statements.

Superior Performance

Tencent Cloud TCHouse-C leverages distributed massively parallel processing (MPP) architecture, allowing you to process queries several times faster than traditional data warehouses, even up to terabytes of data per second per query.

Elastic Scalability

The Tencent Cloud TCHouse-C console simplifies and accelerates cluster scaling and node configuration adjustment, dynamically supporting your business growth with high scalability.

Security and Reliability

Your clusters are independently deployed in isolated VPCs for more secure data access. Moreover, Tencent Cloud TCHouse-C comprehensively supports high cluster availability to implement service disaster recovery and failover imperceptible to users.

High Cost-Effectiveness

Tencent Cloud TCHouse-C enables you to build highly cost-effective managed ClickHouse clusters with devices in the cloud. This includes leveraging the 10x data compression algorithm of ClickHouse to efficiently reduce disk usage and costs compared with traditional data warehouses.

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