Description:
Columnar in-memory analytics layer designed to accelerate big data
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Type: Formula
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Latest Version: 12@4
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Tracked Since: Dec 17, 2025
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Links:
Homepage |
@ApacheArrow |
formulae.brew.sh
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Category: Developer tools
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Tags:
data-engineering
big-data
analytics
library
c-plus-plus
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Install:
brew install apache-arrow
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About:
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized, language-independent columnar memory format, organized for efficient analytic operations on modern hardware. Its primary value is eliminating serialization overhead and enabling zero-copy data sharing between different processing engines and languages.
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Key Features:
- Standardized columnar memory format
- Zero-copy data sharing
- Cross-language interoperability
- High-performance analytics
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Use Cases:
- Accelerating data processing in analytics pipelines
- Sharing large datasets between Python, Java, and C++ applications
- Building high-performance data systems like database connectors and query engines
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Alternatives:
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Protocol Buffers
– Protobuf is primarily for serialization, while Arrow focuses on in-memory, zero-copy analytics.
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Parquet
– Parquet is a columnar storage format, whereas Arrow is its in-memory counterpart for processing.
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License: Apache-2.0
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Dependencies: abseil, aws-crt-cpp, aws-sdk-cpp, brotli, grpc, llvm, lz4, openssl@3, protobuf, re2, snappy, thrift, utf8proc, zstd
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Bottles available for: arm64_tahoe, arm64_sequoia, arm64_sonoma, sonoma, arm64_linux, x86_64_linux
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