ClickHouse Has a Free Column-Oriented Database — Query Billions of Rows in Milliseconds

ClickHouse Queries Billions of Rows in Milliseconds PostgreSQL chokes on analytical queries over 100M rows. ClickHouse handles billions — and returns results in milliseconds. Thats not a typo. What Makes ClickHouse Fast ClickHouse is a column-oriented OLAP database: Columnar storage — reads only the columns you query Vectorized execution — processes data in batches using SIMD Compression — 10-40x compression ratios on real data Parallel processing — uses all CPU cores for every query Materialized views — pre-aggregate data on insert SQL compatible — standard SQL with extensions Quick Start # Docker docker run -d --name clickhouse \ -p 8123:8123 -p 9000:9000 \ clickhouse/clickhouse-server # Connect docker exec -it clickhouse clickhouse-client # Create table CREATE TABLE events ( timestamp DateTime, user_id UInt64, event_type LowCardinality(String), properties String ) ENGINE = MergeTree() ORDER BY (event_type, timestamp); # Insert 1M rows in seconds INSERT INTO events SELECT now() - ran