Didi Migrates from Elasticsearch to ClickHouse for a new Generation Log Storage System

T1Covered by 1 source · first reported by Databricks / ClickHouse / DuckDB / Supabase / Neon / PlanetScale at 19 Apr 2024, 00:00 UTC

We welcome Didi who present the story of their PB level Observability use case in ClickHouse and how they migrated their legacy Elasticsearch logging and trace solution, saving over 30% in hardware costs and speeding up queries almost 4x.

Sources

• T1Didi Migrates from Elasticsearch to ClickHouse for a new Generation Log Storage SystemDatabricks / ClickHouse / DuckDB / Supabase / Neon / PlanetScale19 Apr 2024, 00:00