Apache TinkerPop
Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). It provides the Gremlin graph traversal language which works with any TinkerPop-enabled graph system. TinkerPop abstracts the underlying graph database, allowing applications to work with Neo4j, Amazon Neptune, Azure Cosmos DB, JanusGraph, Amazon DynamoDB, and other graph databases using a single consistent API. It is maintained by the Apache Software Foundation.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Apache TinkerPop the way a machine reads it — 24 machine-readable artifacts across 2 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 TinkerPop scores 30.7/100 (thin), with a separate agent-readiness read of 7/100 (human only). 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Apache TinkerPop
Each block below is one kind of artifact we hold for Apache TinkerPop. 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 2
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 TinkerPop Gremlin Server API
The Gremlin Server provides WebSocket and HTTP endpoints for submitting Gremlin traversals to a remote graph database. The HTTP API accepts POST requests with Gremlin traversal ...
Apache TinkerPop Gremlin Traversal API
The Gremlin graph traversal language and API provide a functional, data-flow-based language for expressing complex graph queries and mutations. Gremlin steps include vertex/edge...
Pricing 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 Tinkerpop 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 Tinkerpop Finops
FINOPSFeatures 7
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.
Graph Database Abstraction
Single API working across Neo4j, JanusGraph, Amazon Neptune, Azure Cosmos DB, and 20+ graph systems.
Gremlin Language
Expressive functional graph traversal language for both queries and mutations.
OLAP Graph Processing
Bulk/analytical graph processing via SparkGraphComputer for large-scale graph algorithms.
GraphBinary Serialization
Compact binary serialization format for efficient Gremlin traversal encoding.
GraphSON Format
JSON-based graph serialization format for human-readable graph data exchange.
Gremlin Server
Standalone server hosting Gremlin traversal execution over WebSocket or HTTP.
Multi-Language SDKs
Official Gremlin SDKs for Java, Python, JavaScript, Go, and .NET.
Scroll within the panel for all 7 ·
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.
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.
Knowledge Graphs
Build and query knowledge graphs for entity relationship modeling.
Social Network Analysis
Traverse and analyze social graph relationships and influence patterns.
Fraud Detection
Detect fraud rings and suspicious patterns via graph relationship traversal.
Recommendation Engines
Graph-based collaborative filtering and content recommendation.
Identity and Access Management
Model and query complex permission hierarchies and role relationships.
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.
Amazon Neptune
AWS managed graph database with full TinkerPop and Gremlin compatibility.
Azure Cosmos DB
Azure Cosmos DB Gremlin API for TinkerPop-compatible graph storage.
JanusGraph
Distributed graph database with TinkerPop/Gremlin interface and Cassandra/HBase backend.
Neo4j
Neo4j TinkerPop plugin for Gremlin traversal on Neo4j graph data.
Apache Spark
SparkGraphComputer for OLAP graph analytics on Spark clusters.
Resources
Every other property we hold for Apache TinkerPop — 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 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/apache-tinkerpop · machine-readable index on apis.io