Behind the music: How Chartmetric is scaling music analytics with ClickHouse

T1Covered by 1 source · first reported by Databricks / ClickHouse / DuckDB / Supabase / Neon / PlanetScale at 08 Jan, 14:17 UTC

“ClickHouse works very well as part of our multi-system data stack. It’s excellent for time-series data, and the VersionedCollapsingMergeTree engine was a game-changer for us, speeding up queries from 20 seconds in Snowflake to 1.5 seconds in ClickHouse.”