// Open Source Columnar DB

The fastest OLAP database for real-time analytics

Process billions of rows per second with columnar storage, SQL interface, and linear scalability. Built by engineers who needed real answers in real time.

Get Started →

SQL Query

Schema

Output

                -- Analyze 10B+ events in under a second

                SELECT

                  toStartOfHour(timestamp) AS hour,

                  count() AS events,

                  uniqExact(user_id) AS unique_users,

                  quantile(0.95)(latency_ms) AS p95_latency

                FROM events.production

                WHERE timestamp > now() - INTERVAL 24 HOUR

                GROUP BY hour

                ORDER BY hour DESC

                LIMIT 24;

Query Results 24 rows · 847ms

hour	events	unique_users	p95_latency
2026-01-15 23:00	12,847,293	892,441	142ms
2026-01-15 22:00	11,992,104	867,230	138ms
2026-01-15 21:00	11,203,881	834,117	145ms
2026-01-15 20:00	10,584,662	801,993	131ms
...	...	...	...

// Capabilities

Built for speed, designed for scale

ClickHouse is purpose-built for analytical workloads that demand sub-second response times on petabyte-scale data.

⚡

Blazing Fast Queries

Columnar storage and vectorized execution deliver query speeds 100-1000x faster than traditional row-oriented databases.

📊

SQL Interface

Familiar SQL dialect with powerful extensions for analytics: window functions, arrays, nested types, and aggregate combinators.

🔧

Easy to Operate

Single binary deployment, automatic data replication, and distributed query processing. Runs on bare metal or Kubernetes.

🌐

Ecosystem Integration