ClickHouse
ClickHouse ist ein schnelles spaltenorientiertes Open-Source-Datenbankverwaltungssystem, das die Erstellung analytischer Datenberichte in Echtzeit mithilfe von SQL-Abfragen ermöglicht
Punktzahl
30
Benutzerbewertung
3.0
Kostenlos/Test-Support
Unterstützt
Startpreis
50 $/Monat
Zuletzt Aktualisiert
Okt. 01, 2026
Überblick
Was ist ClickHouse?
ClickHouse ist ein schnelles spaltenorientiertes Open-Source-Datenbankverwaltungssystem, das die Erstellung analytischer Datenberichte in Echtzeit mithilfe von SQL-Abfragen ermöglicht
Wofür wird ClickHouse verwendet?
Tags
Top-Funktionen
- 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
Wie verwendet man 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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Vorteile & Nachteile
Vorteile
- 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
Nachteile
- 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
Anwendungsfälle
- 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
ClickHouse Preise
Kostenloser PlanAbonnement-Plan
Cloud
50 $/MonatClickHouse 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
CustomSelf-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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