Apache ORC website screenshot

Apache ORC

Apache ORC is a self-describing, type-aware columnar file format designed for Hadoop workloads. It provides high compression ratios and fast read performance for large-scale data processing with support for complex data types.

Apache ORC publishes 3 APIs on the APIs.io network: Conversion API, Files API, and Operations API. Tagged areas include Big Data, Columnar Storage, Compression, File Format, and Hadoop.

The Apache ORC catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Apache ORC’s developer surface includes documentation, engineering blog, and 8 more developer resources.

21.0/100 emerging ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
AccessFreemium
3 APIs 6 Features 4 Use Cases
Big DataColumnar StorageCompressionFile FormatHadoopApacheOpen-Source

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/apache-orc: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 3

Individual APIs this provider publishes, each with its own machine-readable definition.

Apache ORC Conversion API

The Conversion API from Apache ORC — 1 operation(s) for conversion.

Apache ORC Files API

The Files API from Apache ORC — 4 operation(s) for files.

Apache ORC Operations API

The Operations API from Apache ORC — 1 operation(s) for operations.

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Apache Orc Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Features 6

Notable capabilities this provider offers.

Columnar Storage

Stores data by column for efficient compression and query performance

Predicate Pushdown

Skip reading data that does not match query predicates

Column Projection

Read only the columns needed for a query

ACID Support

Full ACID transactional support when used with Apache Hive

Schema Evolution

Add, rename, and remove columns while preserving backward compatibility

Compression

Supports ZLIB, Snappy, LZO, LZ4, and ZSTD compression codecs

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Apache Orc Context

12 classes · 37 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Apache ORC API Rules

5 rules · 3 warnings 2 info

SPECTRAL

Apache ORC API Rules

14 rules · 5 errors 7 warnings 2 info

SPECTRAL

JSON Schema 12

Standalone JSON Schema definitions for this provider's data models.

ColumnStatisticsResponse

2 properties

JSON SCHEMA

ColumnStatistics

7 properties

JSON SCHEMA

ColumnType

4 properties

JSON SCHEMA

ConversionRequest

5 properties

JSON SCHEMA

ConversionResult

4 properties

JSON SCHEMA

FileInfo

4 properties

JSON SCHEMA

FileList

1 properties

JSON SCHEMA

FileMetadata

9 properties

JSON SCHEMA

MergeRequest

2 properties

JSON SCHEMA

OperationResult

3 properties

JSON SCHEMA

OrcSchema

2 properties

JSON SCHEMA

StripeInfo

4 properties

JSON SCHEMA

Scroll for all 12

JSON Structure 12

JSON Structure definitions describing this provider's data shapes.

Apache Orc Column Statistics Structure

7 properties

JSON STRUCTURE

Apache Orc Column Type Structure

4 properties

JSON STRUCTURE

Apache Orc Conversion Request Structure

5 properties

JSON STRUCTURE

Apache Orc Conversion Result Structure

4 properties

JSON STRUCTURE

Apache Orc File Info Structure

4 properties

JSON STRUCTURE

Apache Orc File List Structure

1 properties

JSON STRUCTURE

Apache Orc File Metadata Structure

9 properties

JSON STRUCTURE

Apache Orc Merge Request Structure

2 properties

JSON STRUCTURE

Apache Orc Operation Result Structure

3 properties

JSON STRUCTURE

Apache Orc Orc Schema Structure

2 properties

JSON STRUCTURE

Apache Orc Stripe Info Structure

4 properties

JSON STRUCTURE

Scroll for all 12

Examples 12

Example request and response payloads for these APIs.

Scroll for all 12

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Apache Orc Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Apache Orc Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Apache Orc Agentic Access

6 operations · 2 acting

6 operations · 2 acting

AGENTIC

Use Cases 4

What developers build with this provider.

Hive Data Warehousing

Store Hive tables in highly efficient ORC format

Spark Analytics

Process large ORC datasets with Apache Spark SQL

Presto/Trino Queries

Fast analytical queries over ORC files with Presto or Trino

Data Lake Storage

Efficient columnar storage for data lake architectures

Integrations 5

Pre-built integrations with other platforms and tools.

Apache Hive

Native ORC support as default Hive storage format

Apache Spark

ORC data source support in Spark SQL

Presto/Trino

Fast ORC reading with native vectorized reader

Apache Flink

ORC file format support for batch and streaming

Apache Arrow

ORC to Arrow conversion for in-memory analytics

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: apache-orc
name: Apache ORC
description: Apache ORC is a self-describing, type-aware columnar file format designed for Hadoop workloads. It provides high
  compression ratios and fast read performance for large-scale data processing with support for complex data types.
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  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-orc.png
tags:
- Big Data
- Columnar Storage
- Compression
- File Format
- Hadoop
- Apache
- Open-Source
tags_raw:
- Big Data
- Columnar Storage
- Compression
- File Format
- Hadoop
- Apache
- Open Source
created: '2026-03-16'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-orc/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: apache-orc:apache-orc-conversion-api
  name: Apache ORC Conversion API
  description: The Conversion API from Apache ORC — 1 operation(s) for conversion.
  humanURL: https://orc.apache.org/docs/
  tags:
  - Conversion
  properties:
  - type: OpenAPI
    url: openapi/apache-orc-conversion-api-openapi.yml
  - type: Documentation
    url: https://orc.apache.org/docs/
- aid: apache-orc:apache-orc-files-api
  name: Apache ORC Files API
  description: The Files API from Apache ORC — 4 operation(s) for files.
  humanURL: https://orc.apache.org/docs/
  tags:
  - File
  tags_raw:
  - Files
  properties:
  - type: OpenAPI
    url: openapi/apache-orc-files-api-openapi.yml
  - type: Documentation
    url: https://orc.apache.org/docs/
- aid: apache-orc:apache-orc-operations-api
  name: Apache ORC Operations API
  description: The Operations API from Apache ORC — 1 operation(s) for operations.
  humanURL: https://orc.apache.org/docs/
  tags: []
  tags_raw:
  - Operations
  properties:
  - type: OpenAPI
    url: openapi/apache-orc-operations-api-openapi.yml
  - type: Documentation
    url: https://orc.apache.org/docs/
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com
common:
- type: Website
  url: https://www.apache.org/
- type: AgenticAccess
  url: agentic-access/apache-orc-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/apache-orc-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/apache-orc-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/apache/orc
- type: Documentation
  url: https://orc.apache.org/
- type: SpectralRules
  url: rules/apache-orc-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/apache-orc-vocabulary.yaml
- type: JSONLD
  url: json-ld/apache-orc-context.jsonld
- type: Blog
  url: https://orc.apache.org/news/
- type: Features
  data:
  - name: Columnar Storage
    description: Stores data by column for efficient compression and query performance
  - name: Predicate Pushdown
    description: Skip reading data that does not match query predicates
  - name: Column Projection
    description: Read only the columns needed for a query
  - name: ACID Support
    description: Full ACID transactional support when used with Apache Hive
  - name: Schema Evolution
    description: Add, rename, and remove columns while preserving backward compatibility
  - name: Compression
    description: Supports ZLIB, Snappy, LZO, LZ4, and ZSTD compression codecs
- type: UseCases
  data:
  - name: Hive Data Warehousing
    description: Store Hive tables in highly efficient ORC format
  - name: Spark Analytics
    description: Process large ORC datasets with Apache Spark SQL
  - name: Presto/Trino Queries
    description: Fast analytical queries over ORC files with Presto or Trino
  - name: Data Lake Storage
    description: Efficient columnar storage for data lake architectures
- type: Integrations
  data:
  - name: Apache Hive
    description: Native ORC support as default Hive storage format
  - name: Apache Spark
    description: ORC data source support in Spark SQL
  - name: Presto/Trino
    description: Fast ORC reading with native vectorized reader
  - name: Apache Flink
    description: ORC file format support for batch and streaming
  - name: Apache Arrow
    description: ORC to Arrow conversion for in-memory analytics

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