Apache Giraph

aid: apache-giraph
name: Apache Giraph
description: Apache Giraph is an iterative graph processing system built for high scalability on Apache Hadoop. It is modeled
  after Google's Pregel and provides a simple yet flexible Java API for graph algorithms at massive scale using the Bulk Synchronous
  Parallel (BSP) model. Note - Apache Giraph has been retired as of 2024.
type: Index
position: Consumer
access: 3rd-Party
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- Apache
- Big Data
- BSP
- Graph Processing
- Hadoop
- Open Source
- Retired
created: '2026-03-16'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-giraph/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: apache-giraph:apache-giraph-job-api
  name: Apache Giraph Job Monitoring API
  description: Monitoring API for Apache Giraph graph processing jobs via the YARN ResourceManager REST API, providing job
    status, progress tracking, and cluster capacity metrics.
  humanURL: https://giraph.apache.org/quick_start.html
  baseURL: http://localhost:8088
  tags:
  - BSP
  - Graph
  - Hadoop
  - Job Management
  - YARN
  properties:
  - type: Documentation
    url: https://giraph.apache.org/quick_start.html
  - type: OpenAPI
    url: openapi/apache-giraph-job-openapi.yml
  - type: JSONSchema
    url: json-schema/giraph-job-application-info-schema.json
  - type: JSONLD
    url: json-ld/apache-giraph-job-context.jsonld
  - type: NaftikoCapability
    url: capabilities/job-cluster.yaml
  - type: NaftikoCapability
    url: capabilities/job-job-management.yaml
- aid: apache-giraph:apache-giraph-java-api
  name: Apache Giraph Java API
  description: Java API based on the Bulk Synchronous Parallel (BSP) model for implementing graph algorithms, with Vertex,
    Edge, and Master compute APIs for distributed graph processing on Hadoop.
  humanURL: https://giraph.apache.org/apidocs/
  tags:
  - BSP
  - Graph
  - Java
  - SDK
  properties:
  - type: Documentation
    url: https://giraph.apache.org/apidocs/
  - type: SDK
    url: https://search.maven.org/artifact/org.apache.giraph/giraph-core
    title: Java SDK (Maven Central)
common:
- type: Documentation
  url: https://giraph.apache.org/
- type: GettingStarted
  url: https://giraph.apache.org/quick_start.html
- type: GitHubOrganization
  url: https://github.com/apache
- type: GitHubRepository
  url: https://github.com/apache/giraph
- type: SpectralRules
  url: rules/apache-giraph-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/apache-giraph-vocabulary.yaml
- type: Features
  data:
  - name: Bulk Synchronous Parallel (BSP) Model
    description: Google Pregel-inspired BSP computation model where vertices communicate through supersteps.
  - name: Vertex-Centric Programming
    description: Write graph algorithms by defining per-vertex compute functions that exchange messages with neighbors.
  - name: Master Compute API
    description: Global coordination API for aggregating results and controlling algorithm termination across supersteps.
  - name: Aggregators
    description: Sharded aggregators for collecting global statistics across all vertices during computation.
  - name: Edge-Oriented Input
    description: Flexible input formats for loading graphs from HDFS, Hive, Gora, and Rexster sources.
  - name: Out-of-Core Computation
    description: Spill graph data to disk for processing graphs larger than available memory.
  - name: Hadoop Integration
    description: Runs as a MapReduce job on Apache Hadoop YARN for resource management and fault tolerance.
  - name: Fault Tolerance
    description: Checkpoint-based recovery for fault tolerance across superstep boundaries.
- type: UseCases
  data:
  - name: Social Graph Analysis
    description: Analyze social network connections, communities, and influence at billions-of-vertices scale (as used at
      Facebook).
  - name: PageRank Computation
    description: Compute web page or entity rankings using iterative link analysis algorithms.
  - name: Shortest Path Computation
    description: Find shortest paths between vertices for network routing and recommendation problems.
  - name: Connected Components
    description: Identify clusters and connected components in large graphs for community detection.
  - name: Graph Machine Learning Features
    description: Generate graph-structural features for machine learning models at scale.
- type: Integrations
  data:
  - name: Apache Hadoop
    description: Runs on Hadoop YARN as a MapReduce application for cluster resource management.
  - name: Apache Hive
    description: Hive I/O module for loading graph data from Hive tables.
  - name: Apache Gora
    description: Gora I/O module for loading graph data from various NoSQL data stores.
  - name: Rexster
    description: Rexster graph server I/O module for loading data from TinkerPop graph databases.
  - name: Apache HBase
    description: HBase integration for storing and loading vertex and edge data.
maintainers:
- FN: Kin Lane
  email: [email protected]