# Trino vs StarRocks: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Trino wins for federating complex SQL queries across diverse catalogs (Apache Iceberg, Delta Lake, PostgreSQL, and Hive) without data movement across 11.5k+ GitHub stars (98.6), while StarRocks wins for sub-second real-time dashboard analytics, SIMD vectorization, and automated materialized views across 10.0k+ GitHub stars (97.9).

- **Category**: Federated Multi-Catalog SQL MPP vs SIMD-Vectorized Real-Time Lakehouse OLAP Shootout
- **Canonical URL**: https://exactbaseline.com/vs/trino-vs-starrocks
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## Trino Key Advantages
- 11,520+ GitHub stars as the definitive distributed MPP SQL engine federating queries across S3, Iceberg, and RDBMS
- Separates compute from storage cleanly with dynamic worker autoscaling on Kubernetes
- Cuts $3,800/mo commercial Snowflake & Athena bills down to $405/mo on self-hosted instances (-89.3%)

## StarRocks Key Advantages
- 10,040+ GitHub stars delivering cutting-edge SIMD vectorized query execution scanning 64GB/s per core
- Real-time materialized views and primary-key upserts serve sub-second interactive customer-facing analytics
- Full support for Apache Iceberg, Hudi, and Delta Lake external tables with zero data migration