Apache Arrow
Apache Arrow is a cross-language development platform for in-memory data that is commonly used to facilitate efficient integration between vector databases and machine learning frameworks. It provides a standardized format for data exchange that is useful for storing and querying high-dimensional vectors in AI applications.
About this tool
Apache Arrow
Apache Arrow is an open-source cross-language development platform for in-memory data. It is designed to facilitate efficient data interchange and analytics, particularly for high-performance and AI applications.
Features
- Universal Columnar Format: Defines a language-independent, columnar memory format for both flat and nested data, optimized for analytic operations on modern hardware (CPUs and GPUs).
- Zero-Copy Reads: Supports zero-copy reads, enabling fast data access without serialization overhead.
- Multi-language Libraries: Provides libraries for multiple programming languages, including C, C++, C#, Go, Java, JavaScript, Julia, MATLAB, Python, R, Ruby, Rust, and Swift.
- Efficient Data Interchange: Facilitates efficient integration and data exchange between different systems, databases, and machine learning frameworks.
- In-Memory Analytics: Designed for high performance analytics and supports use cases requiring rapid, in-memory data processing.
- Open Source Community: Developed and maintained by a diverse open-source community with a focus on open communication and consensus decision-making.
Category
- Open Source
Tags
open-source, in-memory, data-integration, ai
Pricing
Apache Arrow is open-source software and is freely available under the Apache License 2.0.
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