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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.

2 APIs 7 Features
Graph ComputingGraph DatabaseGremlinOLAPOLTPOpen Source

APIs

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...

Features

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.

Use Cases

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

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

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GitHubRepository
GitHubRepository
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Documentation
Documentation
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Portal
Portal
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GettingStarted
GettingStarted
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ReleaseNotes
ReleaseNotes
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Support
Support
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TermsOfService
TermsOfService