DuckDB vs Trino
On the evidence we track, DuckDB leads this comparison with a composite score of 62/100. 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.
DuckDB
LeaderAn in-process SQL analytical database that runs natively in applications across operating systems and environments. Supports querying files and cloud data directly with a SQL dialect and includes vector search capabilities.
Trino
An 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.
- S3
- MySQL
DuckDB
Leader- Postgres
- AWS
- Azure
- Google Cloud
- Hugging Face
- SQLite
- Iceberg
- Delta Lake
- Parquet
- JSON
- Arrow
- Avro
- Pandas
- dplyr
- Jupyter
- Marimo
- Claude
- Cloudflare
- ODBC
- HTTP
- Excel
- Vortex
- DuckLake
- Lance
- +1 more
Trino
- Grafana
- Apache Airflow
- Apache DolphinScheduler
- Coginiti
- Cube
- DBeaver
- dbt
- DbVisualizer
- Emacs
- Tableau
- Power BI
- Superset
- R
- Hadoop
- Cassandra
- Elasticsearch
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.