DuckDB Analytics
Lightning-Fast Local Analytics
Run analytical queries at blazing speed with DuckDB, the in-process analytical database that handles Parquet, CSV, JSON, and more.
Key Features
Query Engine
- SQL query execution
- Natural language to SQL
- Query optimization
- Result pagination
- Export in multiple formats
File Support
- Direct Parquet querying
- CSV import and export
- JSON data handling
- Excel file support
- Remote file access (S3, HTTP)
Schema Tools
- Schema inspection
- Data type inference
- Table statistics
- Column profiling
- Relationship discovery
Performance
- Columnar storage
- Vectorized execution
- Parallel processing
- Memory-efficient queries
- Zero-copy data access
Perfect For
- Data Scientists analyzing datasets
- Analysts exploring local files
- Developers prototyping data apps
- Students learning SQL
Use Cases
- Log file analysis
- CSV data exploration
- Parquet file queries
- Data transformation
- Quick data profiling
- ETL prototyping
Why DuckDB?
- No server required
- Embedded in your process
- Handles files directly
- PostgreSQL-compatible SQL
- Extremely fast analytics
Supported Data Sources
- Local files (CSV, Parquet, JSON)
- S3 buckets
- HTTP URLs
- SQLite databases
- PostgreSQL (via extension)
Based on DuckDB MCP Server from awesome-mcp-servers repository