ClickHouse

Columnar database for blazing-fast analytics at any scale

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Overview

ClickHouse stores data in columns rather than rows, which fundamentally changes the performance characteristics for analytical queries. When you run a query that aggregates a single column across millions of rows, ClickHouse reads only that column - not entire rows - resulting in orders-of-magnitude faster queries than row-based databases.

For product analytics, logging, and time-series data, ClickHouse handles volumes that would bring PostgreSQL to its knees. Billions of events, petabytes of logs, and years of time-series data are queryable in seconds without expensive hardware or complex indexing strategies.

The compression ratios are remarkable. Columnar storage with LZ4 or ZSTD compression routinely achieves 10-20x compression, meaning your storage costs are a fraction of what they would be with traditional databases. More data, less cost, faster queries.

Key Features

Columnar Storage

Read only the columns you query for massive speed gains

Real-Time Queries

Aggregate billions of rows in seconds

High Compression

10-20x compression ratios reduce storage costs

SQL Compatible

Standard SQL with analytical extensions

Materialized Views

Pre-aggregate data for instant dashboard queries

Replication

Multi-master replication for high availability

Why We Recommend ClickHouse

When clients need real-time analytics over large datasets - product analytics, log analysis, IoT data - ClickHouse delivers query performance that no row-based database can match at the same cost.

Quick Info

Need help with ClickHouse?

Our engineers work with ClickHouse daily and can help you integrate it into your stack.

Related Tools

PostgreSQL

MongoDB

SQLite

Redis