Why should I use ClickHouse vs. X database?

ClickHouse is faster than most traditional data warehouses and databases and is most often used when real-time queries on large datasets are necessary at an affordable cost. However, developers also often use ClickHouse on top of their CDWH or OLTP databases to act as a “speed layer” within their existing infrastructure.

OLAP stands for “online analytical processing” which contrasts from OLTP, or “online transaction processing.” As the name suggests, OLAP databases perform significantly better compared to OLTP databases for analytical workloads common with large datasets.

How does ClickHouse handle large amounts of data?

In order to easily process large amounts of data, ClickHouse uses highly optimized compression techniques and vectorized query execution to maximize CPU efficiency.

How does ClickHouse support data visualization and analysis?

ClickHouse supports connectors to many clients and drivers, including common BI and data analysis tools. Please see this page for a complete list of supported integrations.

How much does ClickHouse cost?

Self-managed ClickHouse is dependent on the cost of your compute and data storage resources, as well as headcount necessary to manage the ClickHouse deployment. For the most affordable way to run ClickHouse, use ClickHouse Cloud, which starts at $50/month.

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ClickHouse

ClickHouse เป็นระบบจัดการฐานข้อมูลแบบโอเพ่นซอร์สแบบคอลัมน์ที่รวดเร็วซึ่งช่วยให้สามารถสร้างรายงานข้อมูลเชิงวิเคราะห์แบบเรียลไทม์โดยใช้คำสั่ง SQL

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คะแนน

คะแนนผู้ใช้

3.0

การสนับสนุนฟรี/ทดลองใช้

รองรับ

ราคาเริ่มต้น

US$50/เดือน

อัปเดตล่าสุด

ต.ค. 01, 2026

ภาพรวม

ClickHouse คืออะไร?

ClickHouse ใช้สำหรับอะไร?

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คุณสมบัติหลัก

Blazing fast query performance with millisecond latency at petabyte scale
Column-oriented storage for efficient OLAP workloads
Open-source and free to self-host
ClickHouse Cloud fully managed service on AWS, GCP, and Azure
Real-time analytics and dashboards
Observability with ClickStack for logs, metrics, traces, and session replays
Data warehousing and business intelligence
Machine learning and GenAI support with vector search
100+ integrations for data ingestion, visualization, and language clients
Simple SQL interface for intuitive data analysis
Best-in-class compression ratios for cost savings
Secure, compliant, and resource-optimized

วิธีใช้ ClickHouse?

Get started with ClickHouse Cloud for a free 30-day trial with $300 credits, or download open-source ClickHouse to self-host. Use simple SQL for intuitive data analysis, integrate with your existing stack via connectors, and deploy on AWS, GCP, Azure, or on-premise. Install via curl, Docker, or Windows, and explore real-time analytics, observability, and ML use cases.

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ข้อดี & ข้อเสีย

ข้อดี

Extremely fast query performance, often 100x faster than row-oriented databases
Open-source with a large community and 50.2k+ GitHub stars
Cost-effective due to high compression and resource efficiency
Easy to scale and deploy in various environments
Rich ecosystem of integrations and connectors
Trusted by major enterprises like Anthropic, Tesla, and Lyft

ข้อเสีย

Not ideal for transactional (OLTP) workloads
Self-managed deployment requires significant operational expertise
Limited support for complex joins compared to traditional databases
May require tuning for optimal performance

กรณีการใช้งาน

Real-time analytics and dashboards
Observability and log analytics
Data warehousing and business intelligence
Machine learning and GenAI applications
Fraud detection and cybersecurity
E-commerce and retail analytics
Gaming and entertainment analytics
Financial services analytics

ราคา ClickHouse

แผนฟรีแผนสมาชิก

Cloud

US$50/เดือน

ClickHouse Cloud starts at $50/month, with a free trial including $300 credits.

Fully managed service on AWS, GCP, Azure
30-day trial with $300 credits
Scalable and secure
Real-time analytics

Self

Custom

Self-managed ClickHouse is free to download, but costs depend on your compute, storage, and operational resources.

Open-source ClickHouse
Self-managed deployment
Free software
Costs depend on infrastructure and management

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