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 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

39.4/100 thin ▼ -8.9 Agent 22/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6

AccessFreemium

2 APIs 6 Features 4 Use Cases

Big DataData AnalysisETLHadoopScriptingApacheOpen Source

Kin Score

Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6

Composite quality — 39.4/100 · thin

Contract Quality 10.8 / 25

Developer Ergonomics 1.7 / 20

Commercial Clarity 7.9 / 20

Operational Transparency 4.8 / 13

Governance 8.3 / 12

Discoverability 5.9 / 10

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

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

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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.

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

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
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: Consumer
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
created: '2026-03-16'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-pig/refs/heads/main/apis.yml
specificationVersion: '0.19'
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:
  - 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: 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