StarRocks vs Trino
On the evidence we track, Trino leads this comparison with a composite score of 52/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
StarRocks
An open-source analytical database optimized for real-time analytics with sub-second latency on complex queries. It queries directly from open lakehouse formats like Iceberg and Delta Lake without data copying, and handles high-concurrency workloads for AI agents and analytics.
Trino
LeaderAn open-source SQL query engine built for fast, distributed analytics over large-scale datasets stored in multiple systems. It enables users to query data in place without copying, supporting interactive analytics workloads from single queries to high-volume applications.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
StarRocks
- Apache Iceberg
- Apache Hudi
- Apache Hive
- Delta Lake
- Apache Kafka
- Airbyte
- Apache Superset
- Min.IO
- dbt Labs
- Alibaba Cloud EMR
- AWS
- ByteDance Volcano Engine
- CelerData
- Mirrorship
Trino
Leader- Grafana
- Apache Airflow
- Apache DolphinScheduler
- Coginiti
- Cube
- DBeaver
- dbt
- DbVisualizer
- Emacs
- Tableau
- Power BI
- Superset
- R
- Hadoop
- S3
- Cassandra
- MySQL
- Elasticsearch
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.