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hugegraph-logo

A graph database that supports more than 10 billion vertices & edges, high performance and scalability

LicenseHugeGraph-CILicense checkerGitHub Releases Downloads

What is Apache HugeGraph?

HugeGraph is a fast and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities. HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be achieved through the powerful Gremlin graph traversal language.

Features

  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms

Quick Start

1. Docker (For Test)

Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:

# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or the README for more details. (Docker Compose)

Note:

  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.

2. Download

Visit Download Page and refer the doc to download the latest release package and start the server.

Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.

3. Build From Source

Visit Build From Source Page and follow the steps to build the source code and start the server.

The project doc page contains more information on HugeGraph and provides detailed documentation for users. (Structure / Usage / API / Configs...)

And here are links of other HugeGraph component/repositories:

  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)

License

HugeGraph is licensed under Apache 2.0 License.

Contributing

  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!

contributors graph

Thanks

HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax. Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.

You are welcome to contribute to HugeGraph, and we are looking forward to working with you to build an excellent open-source community.

Contact Us

QR png

About

A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)

hugegraph.apache.org

Resources

Readme
License

Contributing

Contributing
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
hugegraph-logo
A graph database that supports more than 10 billion vertices & edges, high performance and scalability
LicenseHugeGraph-CILicense checkerGitHub Releases Downloads
What is Apache HugeGraph?
HugeGraph is a fast and highly-scalable graph database.
Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities.
HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be
achieved through the powerful Gremlin graph traversal language.
Features
  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
Quick Start
1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:
# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or
the README for more details. (Docker Compose)
Note:
  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.
2. Download
Visit Download Page and refer the doc
to download the latest release package and start the server.
Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.
3. Build From Source
Visit Build From Source Page and follow the
steps to build the source code and start the server.
The project doc page contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)
License
HugeGraph is licensed under Apache 2.0 License.
Contributing
  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!
contributors graph
Thanks
HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
Contact Us
QR png
About
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
hugegraph.apache.org
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
hugegraph-logo
A graph database that supports more than 10 billion vertices & edges, high performance and scalability
LicenseHugeGraph-CILicense checkerGitHub Releases Downloads
What is Apache HugeGraph?
HugeGraph is a fast and highly-scalable graph database.
Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities.
HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be
achieved through the powerful Gremlin graph traversal language.
Features
  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
Quick Start
1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:
# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or
the README for more details. (Docker Compose)
Note:
  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.
2. Download
Visit Download Page and refer the doc
to download the latest release package and start the server.
Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.
3. Build From Source
Visit Build From Source Page and follow the
steps to build the source code and start the server.
The project doc page contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)
License
HugeGraph is licensed under Apache 2.0 License.
Contributing
  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!
contributors graph
Thanks
HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
Contact Us
QR png
About
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
hugegraph.apache.org
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
hugegraph-logo
A graph database that supports more than 10 billion vertices & edges, high performance and scalability
LicenseHugeGraph-CILicense checkerGitHub Releases Downloads
What is Apache HugeGraph?
HugeGraph is a fast and highly-scalable graph database.
Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities.
HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be
achieved through the powerful Gremlin graph traversal language.
Features
  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
Quick Start
1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:
# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or
the README for more details. (Docker Compose)
Note:
  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.
2. Download
Visit Download Page and refer the doc
to download the latest release package and start the server.
Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.
3. Build From Source
Visit Build From Source Page and follow the
steps to build the source code and start the server.
The project doc page contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)
License
HugeGraph is licensed under Apache 2.0 License.
Contributing
  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!
contributors graph
Thanks
HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
Contact Us
QR png
About
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
hugegraph.apache.org
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
hugegraph-logo
A graph database that supports more than 10 billion vertices & edges, high performance and scalability
LicenseHugeGraph-CILicense checkerGitHub Releases Downloads
What is Apache HugeGraph?
HugeGraph is a fast and highly-scalable graph database.
Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities.
HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be
achieved through the powerful Gremlin graph traversal language.
Features
  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
Quick Start
1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:
# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or
the README for more details. (Docker Compose)
Note:
  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.
2. Download
Visit Download Page and refer the doc
to download the latest release package and start the server.
Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.
3. Build From Source
Visit Build From Source Page and follow the
steps to build the source code and start the server.
The project doc page contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)
License
HugeGraph is licensed under Apache 2.0 License.
Contributing
  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!
contributors graph
Thanks
HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
Contact Us
QR png
About
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
hugegraph.apache.org
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
hugegraph-logo
A graph database that supports more than 10 billion vertices & edges, high performance and scalability
LicenseHugeGraph-CILicense checkerGitHub Releases Downloads
What is Apache HugeGraph?
HugeGraph is a fast and highly-scalable graph database.
Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities.
HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be
achieved through the powerful Gremlin graph traversal language.
Features
  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
Quick Start
1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:
# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or
the README for more details. (Docker Compose)
Note:
  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.
2. Download
Visit Download Page and refer the doc
to download the latest release package and start the server.
Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.
3. Build From Source
Visit Build From Source Page and follow the
steps to build the source code and start the server.
The project doc page contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)
License
HugeGraph is licensed under Apache 2.0 License.
Contributing
  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!
contributors graph
Thanks
HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
Contact Us
QR png
About
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
hugegraph.apache.org
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Readme
License
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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hugegraph-logo
A graph database that supports more than 10 billion vertices & edges, high performance and scalability
LicenseHugeGraph-CILicense checkerGitHub Releases Downloads
What is Apache HugeGraph?
HugeGraph is a fast and highly-scalable graph database.
Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities.
HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be
achieved through the powerful Gremlin graph traversal language.
Features
  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
Quick Start
1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:
# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or
the README for more details. (Docker Compose)
Note:
  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.
2. Download
Visit Download Page and refer the doc
to download the latest release package and start the server.
Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.
3. Build From Source
Visit Build From Source Page and follow the
steps to build the source code and start the server.
The project doc page contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)
License
HugeGraph is licensed under Apache 2.0 License.
Contributing
  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!
contributors graph
Thanks
HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
Contact Us
QR png
About
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
hugegraph.apache.org
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
hugegraph-logo
A graph database that supports more than 10 billion vertices & edges, high performance and scalability
LicenseHugeGraph-CILicense checkerGitHub Releases Downloads
What is Apache HugeGraph?
HugeGraph is a fast and highly-scalable graph database.
Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities.
HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be
achieved through the powerful Gremlin graph traversal language.
Features
  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, support RocksDB/HStore, HBase, Cassandra/ScyllaDB, and MySQL/Postgre now and easy to add another backend store driver if needed
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
Quick Start
1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:
# (Optional) # 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0

Please visit doc page or
the README for more details. (Docker Compose)
Note:
  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.5.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.
2. Download
Visit Download Page and refer the doc
to download the latest release package and start the server.
Note: if you want to use it in the production environment or expose it to the public network, must enable the AuthSystem to ensure safe.
3. Build From Source
Visit Build From Source Page and follow the
steps to build the source code and start the server.
The project doc page contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)
License
HugeGraph is licensed under Apache 2.0 License.
Contributing
  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!
contributors graph
Thanks
HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
Contact Us
QR png
About
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
hugegraph.apache.org
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages