Apache Giraph
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.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Apache Giraph the way a machine reads it — 43 machine-readable artifacts across 3 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Apache Giraph scores 52.4/100 (developing), with a separate agent-readiness read of 39/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Apache Giraph
Each block below is one kind of artifact we hold for Apache Giraph. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 3
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache Giraph Java API
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 Had...
Apache Giraph Cluster API
The Cluster API from Apache Giraph — 1 operation(s) for cluster.
Apache Giraph Job Management API
The Job Management API from Apache Giraph — 2 operation(s) for job management.
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Apache Giraph Job Monitoring API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Apache Giraph Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Apache Giraph Finops
FINOPSFeatures 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Bulk Synchronous Parallel (BSP) Model
Google Pregel-inspired BSP computation model where vertices communicate through supersteps.
Vertex-Centric Programming
Write graph algorithms by defining per-vertex compute functions that exchange messages with neighbors.
Master Compute API
Global coordination API for aggregating results and controlling algorithm termination across supersteps.
Aggregators
Sharded aggregators for collecting global statistics across all vertices during computation.
Edge-Oriented Input
Flexible input formats for loading graphs from HDFS, Hive, Gora, and Rexster sources.
Out-of-Core Computation
Spill graph data to disk for processing graphs larger than available memory.
Hadoop Integration
Runs as a MapReduce job on Apache Hadoop YARN for resource management and fault tolerance.
Fault Tolerance
Checkpoint-based recovery for fault tolerance across superstep boundaries.
Scroll within the panel for all 8 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Apache Giraph Job Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Apache Giraph API Rules
SPECTRALApache Giraph API Rules
SPECTRALJSON Schema 4
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
ApplicationInfo
JSON SCHEMAApplicationResponse
JSON SCHEMAApplicationsResponse
JSON SCHEMAClusterMetricsResponse
JSON SCHEMAJSON Structure 4
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Giraph Job Application Info Structure
JSON STRUCTUREGiraph Job Application Response Structure
JSON STRUCTUREGiraph Job Applications Response Structure
JSON STRUCTUREGiraph Job Cluster Metrics Response Structure
JSON STRUCTUREExamples 4
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Social Graph Analysis
Analyze social network connections, communities, and influence at billions-of-vertices scale (as used at Facebook).
PageRank Computation
Compute web page or entity rankings using iterative link analysis algorithms.
Shortest Path Computation
Find shortest paths between vertices for network routing and recommendation problems.
Connected Components
Identify clusters and connected components in large graphs for community detection.
Graph Machine Learning Features
Generate graph-structural features for machine learning models at scale.
Integrations 5
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Apache Hadoop
Runs on Hadoop YARN as a MapReduce application for cluster resource management.
Apache Hive
Hive I/O module for loading graph data from Hive tables.
Apache Gora
Gora I/O module for loading graph data from various NoSQL data stores.
Rexster
Rexster graph server I/O module for loading data from TinkerPop graph databases.
Apache HBase
HBase integration for storing and loading vertex and edge data.
Resources
Every other property we hold for Apache Giraph — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
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