One year ago, we published a blog post introducing the concept of GraphMa within the Graph-Massivizer project. At that time, the GitHub repository was private, and we shared only conceptual insights and early design principles. During 2025, we made the GraphMa GitHub repository public.
GraphMa is now public, fully documented, and ready for developers to explore. You can now explore, clone, and contribute to GraphMa on GitHub:
The repository includes:
- Core implementation of GraphMa’s pipeline-oriented graph processing model.
- Benchmark suites for ingestion and traversal performance.
- Examples and starter pipelines to help developers get up and running quickly.
GraphMa is fully open source under the Apache License, Version 2.0.
What Makes GraphMa Different?
GraphMa introduces four key innovations for large-scale graph processing:
- Pipeline Representation – Centralised construction and execution with type safety, defined as “blueprints” and evaluated lazily, enabling optimisations such as operator switching and resource-aware execution.
- Operator Model – Provides an extensible catalogue of graph analytics (e.g., centrality, clustering, structural metrics), including stateless transformations, stateful operations, and terminal triggers, supporting both generic and domain-specific logic.
- Directed Data Transfer – Implements a protocol for clear producer-consumer roles and deterministic message flow across pipeline stages.
- Higher-Order Traversal – Abstracts traversal mechanics into a unified protocol with modes for fine-grained, bulk, and conditional iteration, supporting scalable processing across diverse graph formats and large datasets.
These innovations enable high throughput and low latency for graph ingestion and traversal.
Getting Started
To start using GraphMa:
- Clone the repository: git clone https://github.com/graphmassivizer/graph-inceptor-graphma
- Follow the setup guide in the README.
- Explore the sample pipelines and benchmarks.