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 is listed with 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 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.6/100 emerging ▬ flat Agent 20/100 agent aware Heartbeat 38/100 slowing Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

3 APIs 6 Features 4 Use Cases

Big Data Columnar Storage Compression File Format Hadoop Apache Open Source

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 20.6/100 · emerging

Contract Quality 3.6 / 19

Developer Ergonomics 1.8 / 15

Access Clarity 1.2 / 15

Operational Transparency 2.1 / 10

Contract Governance 2.5 / 9

Discoverability 4.7 / 8

Regulatory Posture 2.5 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 19.3 — up to +20.2 composite points
Access Clarity scores 7.9 — up to +18.4 composite points
Developer Ergonomics scores 11.9 — up to +17.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/apache-orc/apis.yml: open an issue on github.com/api-evangelist/apache-orc to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

File Format

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

OpenAPI

measured — observed by APIs.io (published)

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 3

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

Apache ORC Tools Conversion API

OPEN COLLECTION

Apache ORC Tools Conversion Files API

OPEN COLLECTION

Apache ORC Tools Conversion Operations API

OPEN COLLECTION

Apache ORC API pricing

Not yet checked against Apache ORC's own pricing page. Compiled by API Evangelist on 2026-05-04; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free freemium	Free
Professional paid	Free
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Apache ORC's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Apache Orc Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Apache Orc Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Apache ORC

SLA

FinOps 1

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

Apache Orc Finops

FINOPS

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 — jsonschema 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

4 properties

JSON STRUCTURE

Scroll for all 12

Examples 12

Example request and response payloads for these APIs.

Apache Orc Column Statistics Example

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

Apache Orc Agentic Access

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

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

JSONLD

JSONLD

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

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: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  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
- 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: Plans
  url: plans/apache-orc-plans-pricing.yml
- type: RateLimits
  url: rate-limits/apache-orc-rate-limits.yml
- type: FinOps
  url: finops/apache-orc-finops.yml
- 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

Apache ORC API — frequently asked questions

Does Apache ORC have an API?

Yes. APIs.io lists 3 APIs from Apache ORC, including Apache ORC Conversion API, Apache ORC Files API and Apache ORC Operations API.

Is there an OpenAPI specification for the Apache ORC API?

Yes. APIs.io indexes 3 OpenAPI specifications for Apache ORC, each linked for download from this page.

How much does the Apache ORC API cost?

APIs.io lists 3 pricing plans for Apache ORC, with each plan's price, limits and inclusions under Pricing on this page.

Is the Apache ORC API ready for AI agents?

Apache ORC has a Kin Score of 20.6 out of 100 (emerging) and an Agent Readiness score of 19.6 (agent-aware), scored by API Evangelist on 2026-11-06.

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