DuckDB vs StarRocks
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.
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.
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.
- AWS
- Delta Lake
DuckDB
Leader- Postgres
- S3
- Azure
- Google Cloud
- Hugging Face
- SQLite
- MySQL
- Iceberg
- Parquet
- JSON
- Arrow
- Avro
- Pandas
- dplyr
- Jupyter
- Marimo
- Claude
- Cloudflare
- ODBC
- HTTP
- Excel
- Vortex
- DuckLake
- Lance
- +1 more
StarRocks
- Apache Iceberg
- Apache Hudi
- Apache Hive
- Apache Kafka
- Airbyte
- Apache Superset
- Min.IO
- dbt Labs
- Alibaba Cloud EMR
- ByteDance Volcano Engine
- CelerData
- Mirrorship
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.