Apache Arrow is a cross-language development platform for in-memory analytics developed by the Apache Software Foundation. It specifies a standardized, language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware including CPUs and GPUs. Arrow provides computational libraries in C++, Java, Python (PyArrow), R, Go, Rust, JavaScript, C#, Ruby, Julia, and Swift, along with zero-copy streaming messaging via IPC and a high-performance data transfer framework called Arrow Flight (built on gRPC).
Apache Arrow publishes 3 APIs on the APIs.io network. Tagged areas include Analytics, Apache, Columnar Format, Data, and gRPC.
Apache Arrow’s developer surface includes documentation, getting-started guide, support, changelog, engineering blog, and 21 more developer resources.
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Arrow Flight is a high-performance RPC framework built on gRPC for transferring large datasets using the Arrow columnar format. It enables efficient bulk data transport between ...
Arrow provides native libraries in C++, Java, Python (PyArrow), R, Go, Rust, JavaScript, C#, Ruby, Julia, and Swift for reading, writing, and processing columnar data in the Arr...
The Apache Arrow columnar format specification defines the binary layout for in-memory columnar data, including the IPC format for streaming and file-based data exchange. It cov...
aid: apache-arrow
name: Apache Arrow
description: Apache Arrow is a cross-language development platform for in-memory analytics developed by the Apache Software
Foundation. It specifies a standardized, language-independent columnar memory format for flat and nested data, organized
for efficient analytic operations on modern hardware including CPUs and GPUs. Arrow provides computational libraries in
C++, Java, Python (PyArrow), R, Go, Rust, JavaScript, C#, Ruby, Julia, and Swift, along with zero-copy streaming messaging
via IPC and a high-performance data transfer framework called Arrow Flight (built on gRPC).
type: Index
deliveryModel:
model: open-core
license: Apache-2.0
open_source: true
commercial: true
callable_host: false
label: Open core · an OSS project plus a commercial hosted product
confidence: high
source:
- license
- pricing
generated: '2026-08-28'
method: derived
accessModel:
pricing: freemium
onboarding: unknown
trial: false
try_now: false
public: false
label: Freemium
confidence: medium
source:
- plans
generated: '2026-07-22'
method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/apache-arrow.png
tags:
- Analytics
- Apache
- Columnar Format
- Data
- gRPC
- In-Memory
- IPC
- Open-Source
- Python
tags_raw:
- Analytics
- Apache
- Columnar Format
- Data
- gRPC
- In-Memory
- IPC
- Open Source
- Python
created: '2026-03-16'
modified: '2026-04-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-arrow/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: apache-arrow:apache-arrow-flight-rpc
name: Apache Arrow Flight RPC
description: Arrow Flight is a high-performance RPC framework built on gRPC for transferring large datasets using the Arrow
columnar format. It enables efficient bulk data transport between services with client libraries available in C++, Java,
Python, R, Go, and Rust. Flight SQL extends Flight with a SQL-over-Arrow interface for database query execution.
humanURL: https://arrow.apache.org/docs/format/Flight.html
tags:
- Data Transfer
- gRPC
- RPC
properties:
- type: Documentation
url: https://arrow.apache.org/docs/format/Flight.html
- type: APIReference
url: https://arrow.apache.org/docs/format/FlightSql.html
- aid: apache-arrow:apache-arrow-libraries
name: Apache Arrow Libraries
description: Arrow provides native libraries in C++, Java, Python (PyArrow), R, Go, Rust, JavaScript, C#, Ruby, Julia, and
Swift for reading, writing, and processing columnar data in the Arrow in-memory format. Libraries enable zero-copy data
sharing between processes and language runtimes.
humanURL: https://arrow.apache.org/docs/
tags:
- Data Processing
- Libraries
- SDK
properties:
- type: Documentation
url: https://arrow.apache.org/docs/
- type: APIReference
url: https://arrow.apache.org/docs/python/api.html
- aid: apache-arrow:apache-arrow-format
name: Apache Arrow Format Specification
description: The Apache Arrow columnar format specification defines the binary layout for in-memory columnar data, including
the IPC format for streaming and file-based data exchange. It covers flat arrays, nested structures, dictionaries, and
extension types.
humanURL: https://arrow.apache.org/docs/format/Columnar.html
tags:
- Format
- IPC
- Specification
properties:
- type: Documentation
url: https://arrow.apache.org/docs/format/Columnar.html
- type: Specification
url: https://arrow.apache.org/docs/format/Versioning.html
common:
- type: Website
url: https://www.apache.org/
- type: IssueTracker
url: https://github.com/apache/arrow/issues
- type: Releases
url: https://github.com/apache/arrow/releases
- type: CodeOfConduct
url: https://github.com/apache/arrow/blob/main/CODE_OF_CONDUCT.md
- type: ContributionGuide
url: https://github.com/apache/arrow/blob/main/.github/CONTRIBUTING.md
- type: License
name: Apache-2.0
url: https://github.com/apache/arrow/blob/main/LICENSE
- type: VulnerabilityDisclosure
url: security/apache-arrow-vulnerability-disclosure.yml
- type: DomainSecurity
url: security/apache-arrow-domain-security.yml
- type: LinkedIn
url: https://www.linkedin.com/company/apache-arrow
- type: GitHubOrganization
url: https://github.com/apache
- type: GitHubRepository
url: https://github.com/apache/arrow
- type: GitHubRepository
url: https://github.com/apache/arrow-rs
- type: GitHubRepository
url: https://github.com/apache/arrow-java
- type: GitHubRepository
url: https://github.com/apache/arrow-go
- type: GitHubRepository
url: https://github.com/apache/arrow-js
- type: Documentation
url: https://arrow.apache.org/
- type: GettingStarted
url: https://arrow.apache.org/docs/python/getstarted.html
- type: Support
url: https://arrow.apache.org/community/
- type: TermsOfService
url: https://www.apache.org/licenses/
- type: ChangeLog
url: https://arrow.apache.org/blog/
- type: SDKs
url: https://pypi.org/project/pyarrow/
title: PyArrow (Python)
- type: SDKs
url: https://search.maven.org/artifact/org.apache.arrow/arrow-vector
title: Apache Arrow Java (Maven)
- type: SDKs
url: https://crates.io/crates/arrow
title: Arrow-rs (Rust, crates.io)
- type: SDKs
url: https://pkg.go.dev/github.com/apache/arrow/go/v15
title: Arrow Go
- type: SDKs
url: https://www.npmjs.com/package/apache-arrow
title: Apache Arrow JavaScript (npm)
- type: Features
data:
- name: Columnar In-Memory Format
description: Standardized language-independent columnar memory layout for efficient analytic operations with zero-copy
access.
- name: Arrow Flight RPC
description: High-performance gRPC-based framework for transferring large Arrow datasets between services with minimal
serialization overhead.
- name: Flight SQL
description: Extension of Arrow Flight providing a SQL query execution interface over the Arrow Flight protocol.
- name: Zero-Copy IPC
description: Inter-process communication via shared memory and memory-mapped files, enabling zero-copy data sharing across
process boundaries.
- name: Multi-Language Support
description: Native libraries for C++, Java, Python, R, Go, Rust, JavaScript, C#, Ruby, Julia, and Swift.
- name: Vectorized Computation
description: SIMD-optimized compute functions for analytical operations on Arrow arrays and tables.
- name: Parquet Integration
description: First-class support for reading and writing Apache Parquet files via the Arrow columnar format.
- name: Dataset API
description: Unified Dataset API for reading partitioned datasets from local filesystems, S3, GCS, and HDFS.
- name: GPU Support
description: CUDA integration for zero-copy data sharing between CPU and GPU memory via the CUDA Arrow device.
- name: Extension Types
description: Custom extension types for encoding domain-specific data using the Arrow format.
- type: UseCases
data:
- name: Analytics Data Exchange
description: Share large analytical datasets between Python, R, Java, and other runtimes without serialization overhead.
- name: Database Query Results
description: Return query results from databases in Arrow format for fast analytics without Python/Java deserialization.
- name: Data Pipeline Acceleration
description: Accelerate ETL and data processing pipelines using columnar computation and SIMD optimizations.
- name: Machine Learning Feature Stores
description: Store and serve ML features in Arrow format for efficient batch and real-time feature retrieval.
- name: High-Throughput Data Services
description: Build high-throughput data microservices using Arrow Flight for efficient bulk data transfer over gRPC.
- name: Cross-Language Data Sharing
description: Share in-memory data between Python pandas/polars, Java, and Rust applications with zero-copy semantics.
- type: Integrations
data:
- name: Apache Parquet
description: Native read/write support for Parquet columnar file format, the most common big data storage format.
- name: Apache Spark
description: Spark uses Arrow for Python UDF execution and pandas-on-Spark operations via PyArrow.
- name: pandas
description: Deep integration with pandas DataFrames via PyArrow's to_pandas() and from_pandas() conversions.
- name: DuckDB
description: DuckDB uses Arrow as its primary in-memory data format for zero-copy query result exchange.
- name: Polars
description: Polars DataFrame library is built on Arrow and supports zero-copy interop with Arrow arrays.
- name: ADBC (Arrow Database Connectivity)
description: Arrow Database Connectivity provides an Arrow-native database driver interface analogous to ODBC/JDBC.
- name: Delta Lake
description: Delta Lake integrates with Arrow for reading and writing Delta table data in columnar format.
- name: Ray
description: Ray distributed computing framework uses Arrow for shared-memory object storage between workers.
- url: https://arrow.apache.org/feed.xml
type: Blog
maintainers:
- FN: Kin Lane
email: info@apievangelist.com
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