Apache Pig

Apache Pig is a platform for analyzing large data sets that provides a high-level language (Pig Latin) for expressing data analysis programs. It compiles Pig Latin programs into MapReduce/Tez jobs and runs them on Hadoop clusters.

Apache Pig publishes 2 APIs on the APIs.io network: Jobs API and Scripts API. Tagged areas include Big Data, Data Analysis, ETL, Hadoop, and Scripting.

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

Apache Pig’s developer surface includes documentation and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

19.6/100 emerging ▬ flat Agent 17/100 agent aware Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

AccessFreemium

2 APIs 6 Features 4 Use Cases

Big Data Data Analysis ETL Hadoop Scripting Apache Open Source

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 19.6/100 · emerging

Contract Quality 3.6 / 19

Developer Ergonomics 1.4 / 15

Access Clarity 2.4 / 15

Operational Transparency 1.0 / 10

Contract Governance 2.5 / 9

Discoverability 4.3 / 8

Regulatory Posture 2.5 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 17/100 · 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 0 / 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

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/.

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-pig: 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 2

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

Apache Pig Jobs API

The Jobs API from Apache Pig — 3 operation(s) for jobs.

Apache Pig Scripts API

The Scripts API from Apache Pig — 1 operation(s) for scripts.

Open Collections 3

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

API Collection

OPEN COLLECTION

Apache Pig Jobs API

OPEN COLLECTION

Apache Pig Jobs Scripts API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Apache Pig Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Apache Pig Rate Limits

5 limits

RATE LIMITS

FinOps 1

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

Apache Pig Finops

FINOPS

Features 6

Notable capabilities this provider offers.

Pig Latin Language

High-level dataflow language for expressing data transformations

MapReduce/Tez Backend

Compiles Pig Latin to MapReduce or Apache Tez execution plans

UDF Support

User-defined functions in Java, Python, JavaScript, and Ruby

Streaming

Process data through external programs using STREAM operator

Schema Evolution

Flexible schema handling for semi-structured data

Optimization

Automatic logical and physical plan optimization

Semantic Vocabularies 1

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

Apache Pig Context

7 classes · 19 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Apache Pig API Rules

5 rules · 3 warnings 2 info

SPECTRAL

Apache Pig API Rules

12 rules · 5 errors 5 warnings 2 info

SPECTRAL

JSON Schema 7

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

JobList

2 properties

JSON SCHEMA

JobLogs

2 properties

JSON SCHEMA

JobRequest

4 properties

JSON SCHEMA

Job

8 properties

JSON SCHEMA

ScriptRequest

1 properties

JSON SCHEMA

ValidationError

4 properties

JSON SCHEMA

ValidationResult

2 properties

JSON SCHEMA

Scroll for all 7

JSON Structure 7

JSON Structure definitions describing this provider's data shapes.

Apache Pig Job List Structure

2 properties

JSON STRUCTURE

Apache Pig Job Logs Structure

2 properties

JSON STRUCTURE

Apache Pig Job Request Structure

4 properties

JSON STRUCTURE

Apache Pig Job Structure

8 properties

JSON STRUCTURE

Apache Pig Script Request Structure

1 properties

JSON STRUCTURE

Apache Pig Validation Error Structure

4 properties

JSON STRUCTURE

Apache Pig Validation Result Structure

2 properties

JSON STRUCTURE

Scroll for all 7

Examples 7

Example request and response payloads for these APIs.

Apache Pig Job Example

8 fields

EXAMPLE

Apache Pig Job List Example

2 fields

EXAMPLE

Apache Pig Job Logs Example

2 fields

EXAMPLE

Apache Pig Job Request Example

4 fields

EXAMPLE

Apache Pig Script Request Example

1 fields

EXAMPLE

Apache Pig Validation Error Example

4 fields

EXAMPLE

Apache Pig Validation Result Example

2 fields

EXAMPLE

Scroll for all 7

Security Posture 2

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

Apache Pig Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Apache Pig Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

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

Apache Pig Agentic Access

6 operations · 3 acting · 1 human-in-the-loop

6 operations · 3 acting

AGENTIC

Use Cases 4

What developers build with this provider.

ETL Pipelines

Build data transformation pipelines from raw logs to structured data

Ad-hoc Data Analysis

Analyze large datasets with ad-hoc Pig Latin queries

Data Preparation

Clean and prepare data for machine learning workflows

Log Processing

Process and aggregate web server and application logs

Integrations 5

Pre-built integrations with other platforms and tools.

Apache Hadoop

Native MapReduce execution on YARN/HDFS

Apache Tez

High-performance Tez execution engine support

Apache HBase

HBase storage handler for reading/writing HBase tables

Apache Hive

HCatalog integration for Hive metastore access

Amazon S3

S3 input/output for cloud-based data processing

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

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: apache-pig
name: Apache Pig
description: Apache Pig is a platform for analyzing large data sets that provides a high-level language (Pig Latin) for expressing
  data analysis programs. It compiles Pig Latin programs into MapReduce/Tez jobs and runs them on Hadoop clusters.
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-pig.png
tags:
- Big Data
- Data Analysis
- ETL
- Hadoop
- Scripting
- Apache
- Open Source
tags_raw:
- Big Data
- Data Analysis
- ETL
- Hadoop
- Scripting
- Apache
- Open Source
- Open-Source
created: '2026-03-16'
modified: '2026-09-16'
url: https://raw.githubusercontent.com/api-evangelist/apache-pig/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: apache-pig:apache-pig-jobs-api
  name: Apache Pig Jobs API
  description: The Jobs API from Apache Pig — 3 operation(s) for jobs.
  humanURL: https://pig.apache.org/docs/latest/
  tags:
  - Job
  tags_raw:
  - Jobs
  properties:
  - type: OpenAPI
    url: openapi/apache-pig-jobs-api-openapi.yml
  - type: Documentation
    url: https://pig.apache.org/docs/latest/
- aid: apache-pig:apache-pig-scripts-api
  name: Apache Pig Scripts API
  description: The Scripts API from Apache Pig — 1 operation(s) for scripts.
  humanURL: https://pig.apache.org/docs/latest/
  tags:
  - Scripts
  properties:
  - type: OpenAPI
    url: openapi/apache-pig-scripts-api-openapi.yml
  - type: Documentation
    url: https://pig.apache.org/docs/latest/
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com
common:
- type: Website
  url: https://apache.org
- type: AgenticAccess
  url: agentic-access/apache-pig-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/apache-pig-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/apache-pig-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/apache/pig
- type: Documentation
  url: https://pig.apache.org/
- type: SpectralRules
  url: rules/apache-pig-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/apache-pig-vocabulary.yaml
- type: JSONLD
  url: json-ld/apache-pig-context.jsonld
- type: Features
  data:
  - name: Pig Latin Language
    description: High-level dataflow language for expressing data transformations
  - name: MapReduce/Tez Backend
    description: Compiles Pig Latin to MapReduce or Apache Tez execution plans
  - name: UDF Support
    description: User-defined functions in Java, Python, JavaScript, and Ruby
  - name: Streaming
    description: Process data through external programs using STREAM operator
  - name: Schema Evolution
    description: Flexible schema handling for semi-structured data
  - name: Optimization
    description: Automatic logical and physical plan optimization
- type: UseCases
  data:
  - name: ETL Pipelines
    description: Build data transformation pipelines from raw logs to structured data
  - name: Ad-hoc Data Analysis
    description: Analyze large datasets with ad-hoc Pig Latin queries
  - name: Data Preparation
    description: Clean and prepare data for machine learning workflows
  - name: Log Processing
    description: Process and aggregate web server and application logs
- type: Integrations
  data:
  - name: Apache Hadoop
    description: Native MapReduce execution on YARN/HDFS
  - name: Apache Tez
    description: High-performance Tez execution engine support
  - name: Apache HBase
    description: HBase storage handler for reading/writing HBase tables
  - name: Apache Hive
    description: HCatalog integration for Hive metastore access
  - name: Amazon S3
    description: S3 input/output for cloud-based data processing

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