DataFlowsAI TrinoX
TPC-H benchmark

TrinoX vs. Trino-Java

End-to-end TPC-H Q1–Q22 query latency in milliseconds (lower is better) on identical hardware and dataset layout. Speedup = Trino-Java ÷ TrinoX.

Latency — SF1

Speedup — SF1

Geomean speedup by scale factor

Scale factorTrinoX / Trino-Java

Full results (all scale factors)

Methodology

TrinoX

Standalone Rust engine

Native vectorized execution over Parquet-backed TPC-H tables. Same Trino-compatible HTTP surface; queries run through the in-tree planner and executor (single-node or distributed).

Trino-Java

JVM reference

Stock Trino coordinator/worker on the same cluster shape and data layout. Numbers are wall-clock query latency from a controlled benchmark harness — not extrapolated from micro-benchmarks.