Features
columnarapache-arrowinteroperabilityparquetperformance
Pros and Cons
Ventajas
- + Ultra-efficient columnar format
- + Cross-language interoperability
- + Native Parquet read/write
- + Zero-copy reads between systems
- + De facto standard for data exchange
- + Foundation for Polars and many modern tools
Desventajas
- - Low-level API
- - Steep learning curve
- - Complex technical documentation
- - Overhead for small datasets
- - Doesn't replace pandas for analysis
Use Cases
- Data exchange between systems
- Parquet file read/write
- High-performance ETL
- Modern data lakes
- Columnar database integration
- In-memory data transfer