A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
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+80
STARS · LAST 30 DAYS
3
PER DAY
#222
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +80 | +270 |
| Per day | 1 | 3 | 3 |
| Forks gained | +0 | +13 | +32 |
hugegraph gained 80 stars in the last 30 days, about 3 a day, and now has 3.2K. It is about 8 years old and has averaged roughly 399 stars a year. It ranks #222 among Java repositories and #3,135 across all languages on GitHubRepo.
Trending Record
9
DAYS ON TRENDING
#4679
BEST RANK
Oct 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
hugegraph has maintained a continuous presence across global trending indexes, peaking at #4679. Below is the 30-day activity profile:
💡 Overview
hugegraph is an open-source project written in Java: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends).
Engineered for speed, consistency, and developer ease, it solves common hurdles in big-data, database, graph. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Java for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/apache/hugegraph.git
cd hugegraph⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
hugegraph coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
High-Throughput Storage
Persist and retrieve structured data records with minimal latency and high concurrency.
In-Memory Caching
Accelerate application response times by caching frequently queried database entities.
Analytical Queries
Run aggregate metrics and point lookups across large sets of records.
Distributed Replication
Synchronize state across multiple cluster nodes with strong consistency guarantees.
🚀 Getting Started
Install hugegraph using your package manager: `git clone https://github.com/apache/hugegraph.git`
Initialize your project workspace or configuration file for hugegraph.
Import hugegraph into your codebase or invoke it directly from your terminal.
Execute your test suite or run `hugegraph --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
apache/hugegraph is currently ranked #3,135 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,130 | DingTalk-Real-AI/dingtalk-workspace-cli | Go | ★ 3.2K | Compare ↗ |
| #3,131 | wildfly/wildfly | Java | ★ 3.2K | Compare ↗ |
| #3,131 | FabricMC/fabric-api | Java | ★ 3.2K | Compare ↗ |
| #3,133 | textlint/textlint | TypeScript | ★ 3.2K | Compare ↗ |
| #3,134 | subsurface/subsurface | C++ | ★ 3.2K | Compare ↗ |
| #3,135 | apache/hugegraph This Project | Java | ★ 3.2K | |
| #3,136 | elie222/rakazo | TypeScript | ★ 3.2K | Compare ↗ |
| #3,137 | patrykandpatrick/vico | Kotlin | ★ 3.2K | Compare ↗ |
| #3,138 | hybridsjs/hybrids | JavaScript | ★ 3.2K | Compare ↗ |
| #3,139 | microsoft/retina | Go | ★ 3.2K | Compare ↗ |
| #3,140 | PaulWoitaschek/Voice | Kotlin | ★ 3.2K | Compare ↗ |
Frequently Asked Questions
What does hugegraph do? +
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
What language is hugegraph written in? +
The primary language is Java. Topics include: big-data, database, graph, graph-database, graphdb.
Is hugegraph actively maintained? +
Yes, the last recorded push was on Oct 10, 2026 with 383 open issues being tracked.
How many stars does hugegraph have? +
hugegraph has 3,192 stars and 641 forks on GitHub.
How does hugegraph rank among GitHub repositories? +
With 3,192 stars, apache/hugegraph is ranked #3,135 globally across all repositories tracked on GitHubRepo and #222 among Java projects.
What license is hugegraph distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
