Database Analytics Dashboard with Charts and Graphs

ClickHouse - OLAP Database

What is ClickHouse?

ClickHouse is an open-source columnar OLAP (Online Analytical Processing) database developed by Yandex in 2016. It is designed for ultra-fast analytical queries on large datasets, real-time analytics, and business intelligence.

First released
2016
Developer
Yandex
Type
OLAP, Columnar
License
Apache 2.0
1000x
Faster than MySQL
1PB+
Data per day
50B+
Rows/sec
analytics_query.sql
-- Real-time analytics query
SELECT
toYYYYMM(event_date) AS month,
count() AS total_events,
avg(revenue) AS avg_revenue
FROM user_events
WHERE event_date >= '2024-01-01'
GROUP BY month
ORDER BY month DESC
LIMIT 12
Execution time: 0.023s (23ms)
Processing 50M rows in milliseconds!
techCodeExamples.clickHouse.note1
techCodeExamples.clickHouse.note2

Benefits of ClickHouse in Business Projects

Why is ClickHouse considered the fastest analytical database in the world? Here are the key benefits backed by facts and the experience of leading enterprises.

Drawbacks of ClickHouse – An Honest Assessment

Every technology has limitations. Here are the main drawbacks of ClickHouse and how they can be addressed in real-world enterprise projects.

What is ClickHouse Used For?

The main ClickHouse use cases in 2025 – with examples from top tech companies and our own analytics projects.

Real-Time Analytics and Business Intelligence

Real-time dashboards, KPI monitoring, business intelligence

tech.useCases.frameworks
GrafanaTableauApache SupersetMetabasePowerBILooker
tech.useCases.realExamples

Yandex.Metrica (20B events/day), Cloudflare Analytics, Uber analytics

Log Analysis and System Monitoring

Centralized logging, application monitoring, security analytics

tech.useCases.frameworks
ELK StackFluentdVector.devFilebeatPromtailOpenTelemetry
tech.useCases.realExamples

GitLab logging, Spotify event tracking, ContentSquare analytics

IoT Analytics and Telemetry

Sensor data analysis, device telemetry, time-series analytics

tech.useCases.frameworks
Apache KafkaMQTTInfluxDB migrationTimescaleDB alternative
tech.useCases.realExamples

S7 Airlines fleet monitoring, smart city sensors, industrial IoT

Financial Reporting and Compliance

Financial reports, compliance, risk analytics, fraud detection

tech.useCases.frameworks
Apache AirflowdbtApache NiFiPentahoTalend
tech.useCases.realExamples

Deutsche Bank risk analytics, Razorpay financial reporting

FAQ: ClickHouse – Frequently Asked Questions

Complete answers to common questions about the ClickHouse database.

contactCTA.title

contactCTA.description

contactCTA.response