Fast in-process SQL analytics without database servers
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Reviews onSourceForge
2 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Embedded analytics
Biggest con
Not for production DBs
TL;DR - DuckDB
- DuckDB is an embedded analytical database designed for fast OLAP queries in applications
- It runs SQL queries directly on Parquet, CSV, and JSON files without a server
- Completely free and open-source
Pricing: Free forever
Best for: Individuals & startups
What is DuckDB?
DuckDB is an analytics database that runs in-process. Query data with SQL wherever your application runs-the analytical performance of columnar databases without separate infrastructure.
No server to manage. The SQL dialect is full-featured. Performance on analytical queries is excellent.
Data scientists and developers wanting fast SQL analytics without database servers choose DuckDB for embedded analytics.
Available on: Linux, macOS, Windows, Web
Pros & Cons
Pros
- Embedded analytics
- Fast SQL queries
- No server needed
- Good for data science
- Open source
Cons
- Not for production DBs
- Single-node only
- Specific use cases
- Newer platform
- Limited ecosystem
Ratings Across the Web
4.5(2 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Analytics databaseIn-processColumnarSQLZero dependenciesOpen source
Pricing Plans
Most Popular
Free
Free
Open source
- In-process analytics
- SQL
- Parquet/CSV support
- Python/R bindings
Reviews
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DuckDB FAQ
Is DuckDB free?
Yes, DuckDB is open source under MIT license. Completely free. No paid version. Community-supported.
What is DuckDB?
DuckDB is an in-process analytical database. Like SQLite but for analytics. Run SQL queries on local files with excellent performance.
DuckDB vs SQLite?
DuckDB is optimized for analytics (OLAP). SQLite is for transactions (OLTP). DuckDB for analytics; SQLite for application data.
What is DuckDB used for?
Local analytics, data exploration, ETL scripts, and embedded analytics. Query Parquet, CSV, and JSON files directly.
Source: duckdb.org