ssp.sh (Data Engineering Blog)

Why Coinbase and Pinterest Chose StarRocks: Lakehouse-Native Design and Fast Joins at Terabyte Scale

StarRocks is attracting heavyweight users such as Coinbase, Pinterest and Fresha because it delivers sub‑second query latency on terabyte‑scale analytics while reading directly from lakehouse storage. The platform’s shared‑nothing architecture, colocated joins, caching layer and a cost‑based optimizer let it outperform Snowflake, ClickHouse and other OLAP engines on join‑heavy workloads. Companies switched to cut operational costs and eliminate the latency of pre‑aggregating data in Spark or Flink pipelines. StarRocks also supports real‑time ingestion and materialized views, simplifying data pipelines for customer‑facing analytics.