Daft
Daft is a powerful data framework that integrates SQL and Python DataFrame interfaces, offering high performance through Rust. It enables efficient data engineering, seamlessly scaling from local environments to petabyte-scale distributed workloads. With native support for ML/AI libraries and zero-copy integration, Daft enhances analytics and machine learning workflows effortlessly.
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Top Daft Features
- SQL and Python DataFrame interfaces
- Built in Rust for performance
- Seamless scalability to petabyte-scale
- Integrated ML/AI library support
- Efficient dataloading from open formats
- User-Defined Functions (UDFs) support
- Lightweight multithreaded backend
- Zero-copy integration with Python libraries
- GPU resource allocation for models
- Out-of-core processing capabilities
- Multi-threaded execution for speed
- Unified local and distributed analytics
- Snappy and interactive user experience
- Compatibility with Parquet and JPEG formats
- Enhanced performance over Spark
- Regular contributor sync meetings
- Active community engagement
- Comprehensive Daft Engineering Blog
- Innovative data handling techniques
- Support for complex operations.
