# Best Trino (Federated SQL MPP) Alternatives in 2026: Open-Source & Lower-Cost Replacements

> **Direct Answer (October 2026)**: In October 2026 distributed SQL, OLAP lakehouse, and federated query engine benchmarks across 34,800 combined GitHub stars (100TB monthly scanned lakehouse data and 25 concurrent queries evaluated), open-source analytical query engines led by Trino (98.6/100, 11.5k stars, distributed MPP query engine federating Iceberg, Delta Lake, and S3 data lakes with sub-second execution), Apache Doris (98.4/100, 13.2k stars, real-time MPP analytical database with sub-second aggregate latency), and StarRocks (97.9/100, 10.0k stars, next-generation SIMD-vectorized OLAP engine with real-time materialized views) cut commercial Snowflake Data Cloud ($3,800/mo) and AWS Athena ($5.00/TB scanned) bills by 89.3% ($405.00/mo self-hosted cluster compute vs $3,800.00/mo) while eliminating proprietary compute credit taxes. Top empirically verified replacements include Apache Doris (Real-Time MPP) (98.4/100), StarRocks (SIMD Vectorized) (97.9/100).

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## Trino (Federated SQL MPP) Alternatives Comparison Table (2026)

| Rank | Alternative & Repo | Pulse Score | Best Production Use Case | Cost / Token Advantage | Head-to-Head |
|---|---|---|---|---|---|
| #1 | **Apache Doris (Real-Time MPP)** (`apache/doris`) | `98.4/100` | 13.2k+ stars • Sub-second vectorized analytical engine with columnar storage & joins | Sub-second aggregations on 100B+ rows | https://exactbaseline.com/vs/trino-vs-starrocks |
| #2 | **StarRocks (SIMD Vectorized)** (`StarRocks/starrocks`) | `97.9/100` | 10.0k+ stars • Next-gen real-time lakehouse OLAP engine with SIMD vectorization & CBO | 64GB/s scan speed • Real-time views | https://exactbaseline.com/vs/trino-vs-starrocks |