C

ClickHouse

Invited

Fast open-source OLAP database.

DatabaseCH-VER-695061Listed June 12, 2026
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AI-Extractable Summary
What:Fast open-source OLAP database.
For whom:Data engineers and analytics teams at data-intensive companies
Key outcome:Run real-time analytics on massive datasets in seconds instead of minutes
Category:Database

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
2
Impressions
0
Clicks
0
Saves
0
GQI Earned

Citable Outcome

Run real-time analytics on massive datasets in seconds instead of minutes

About

Open-source column-oriented database management system for real-time analytics with SQL support.

Target Audience: Data engineers and analytics teams at data-intensive companies
Not ideal for: Teams that need a primary OLTP database for heavy transactional workloads or frequent row-level updates

What makes it different

  • Purpose-built columnar OLAP engine for very fast analytical queries
  • Open-source and self-managed with strong SQL compatibility
  • Scales horizontally for petabyte-scale distributed analytics
  • Optimized for real-time ingest and low-latency dashboarding

Tags & Classification

real-time analyticslog analyticsevent analyticsdashboardingad hoc reporting
data engineersanalytics engineersbackend engineersplatform teams
saasfintechecommercemedia
Platform: PlatformModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_clickhouse,
  title = {ClickHouse},
  url = {https://citablehub.com/p/clickhouse},
  note = {Listed June 12, 2026. CitableHub ID: CH-VER-695061},
  year = {2026}
}
APA
ClickHouse. (2026). CitableHub Software Index. https://citablehub.com/p/clickhouse.
MLA
"ClickHouse." CitableHub, 2026, https://citablehub.com/p/clickhouse.