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Posted to commits@tinkerpop.apache.org by sp...@apache.org on 2020/11/09 12:28:39 UTC
svn commit: r1883224 - in /tinkerpop/site: gremlin.html
img/logos/hugegraph-logo.png index.html providers.html
Author: spmallette
Date: Mon Nov 9 12:28:39 2020
New Revision: 1883224
URL: http://svn.apache.org/viewvc?rev=1883224&view=rev
Log:
Deploy TinkerPop homepage
Added:
tinkerpop/site/img/logos/hugegraph-logo.png (with props)
Modified:
tinkerpop/site/gremlin.html
tinkerpop/site/index.html
tinkerpop/site/providers.html
Modified: tinkerpop/site/gremlin.html
URL: http://svn.apache.org/viewvc/tinkerpop/site/gremlin.html?rev=1883224&r1=1883223&r2=1883224&view=diff
==============================================================================
--- tinkerpop/site/gremlin.html (original)
+++ tinkerpop/site/gremlin.html Mon Nov 9 12:28:39 2020
@@ -434,7 +434,7 @@ g.V().hasLabel("person").
public void run(String name, String property) {
Graph graph = GraphFactory.open(...);
- GraphTraversalSource g = graph.traversal();
+ GraphTraversalSource g = traversal().withEmbedded(graph);
double avg = g.V().has("name",name).
out("knows").out("created").
@@ -478,9 +478,9 @@ g.V().hasLabel("person").
<div class="col-md-12">
<pre style="padding:10px;"><code class="language-gremlin">Graph graph = GraphFactory.open(...);
GraphTraversalSource g;
-g = graph.traversal(); // local OLTP
-g = traversal().withRemote(DriverRemoteConnection.using("localhost", 8182)) // remote
-g = graph.traversal().withComputer(SparkGraphComputer.class); // distributed OLAP</code>
+g = traversal().withEmbedded(graph); // local OLTP
+g = traversal().withRemote(DriverRemoteConnection.using("localhost", 8182)) // remote
+g = traversal().withEmbedded(graph).withComputer(SparkGraphComputer.class); // distributed OLAP</code>
</pre>
</div>
<br/>
Added: tinkerpop/site/img/logos/hugegraph-logo.png
URL: http://svn.apache.org/viewvc/tinkerpop/site/img/logos/hugegraph-logo.png?rev=1883224&view=auto
==============================================================================
Binary file - no diff available.
Propchange: tinkerpop/site/img/logos/hugegraph-logo.png
------------------------------------------------------------------------------
svn:mime-type = application/octet-stream
Modified: tinkerpop/site/index.html
URL: http://svn.apache.org/viewvc/tinkerpop/site/index.html?rev=1883224&r1=1883223&r2=1883224&view=diff
==============================================================================
--- tinkerpop/site/index.html (original)
+++ tinkerpop/site/index.html Mon Nov 9 12:28:39 2020
@@ -368,6 +368,7 @@ limitations under the License.
<li><a href="https://tinkerpop.apache.org/docs/current/reference/#sparkgraphcomputer">Hadoop (Spark)</a> - OLAP graph processor using Spark.</li>
<li><a href="https://github.com/rayokota/hgraphdb">HGraphDB</a> - OLTP graph database running on Apache HBase.</li>
<li><a href="https://www.huaweicloud.com/en-us/product/ges.html">Huawei Graph Engine Service</a> - Fully-managed, distributed, at-scale graph query and analysis service that provides a visualized interactive analytics platform.</li>
+ <li><a href="https://github.com/hugegraph/hugegraph">HugeGraph</a> - A high-speed, distributed and scalable OLTP and OLAP graph database with visualized analytics platform.</li>
<li><a href="https://console.ng.bluemix.net/catalog/services/ibm-graph/">IBM Graph</a> - OLTP graph database as a service.</li>
<li><a href="http://janusgraph.org/">JanusGraph</a> - Distributed OLTP and OLAP graph database with BerkeleyDB, Apache Cassandra and Apache HBase support.</li>
<li><a href="https://github.com/awslabs/dynamodb-janusgraph-storage-backend//">JanusGraph (Amazon)</a> - The Amazon DynamoDB Storage Backend for JanusGraph.</li>
Modified: tinkerpop/site/providers.html
URL: http://svn.apache.org/viewvc/tinkerpop/site/providers.html?rev=1883224&r1=1883223&r2=1883224&view=diff
==============================================================================
--- tinkerpop/site/providers.html (original)
+++ tinkerpop/site/providers.html Mon Nov 9 12:28:39 2020
@@ -280,53 +280,63 @@ limitations under the License.
<a href="https://datastax.com/products/datastax-enterprise-graph">DataStax Enterprise Graph</a>™, part of DataStax Enterprise's multi-model platform, is a real-time graph database built for cloud applications that need to manage complex and highly connected data. Built on the foundation of Apache Cassandra and Apache TinkerPop, DataStax Enterprise Graph delivers continuous uptime along with predictable performance and scale, while remaining operationally simple to manage.
</div>
<div class="col-sm-6 col-md-6">
- <a href="https://grakn.ai/"><img src="img/logos/grakn-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
- <a href="https://grakn.ai/">GRAKN.AI</a>™ is a distributed knowledge graph that brings knowledge ontologies and transactional data together to enable intelligent querying of data. Querying is performed through the language: Graql, a declarative, knowledge-oriented graph query language for retrieving explicitly stored and implicitly derived information, as well as to perform graph analytics and automated reasoning.
+ <a href="https://github.com/hugegraph/hugegraph"><img src="img/logos/hugegraph-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ <a href="https://github.com/hugegraph/hugegraph">HugeGraph</a> is an Apache2 licensed high-speed, distributed and scalable OLTP and OLAP graph database, fully optimized to store hundreds of billions vertices/edges and analyze complex relationships between high-connected data. It is modeled as property graph and compatible with Apache TinkerPop and Gremlin. Due to high efficiency, availability and scalability, HugeGraph attracts a large amount of users and has been widely used in social network analysis, fraud detection and knowledge graph.
</div>
</div>
<br/>
<div class="row">
<div class="col-sm-6 col-md-6">
- <a href="https://compose.com/databases/janusgraph"><img src="img/logos/ibm-compose-janusgraph-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
- IBM® <a href="https://compose.com/databases/janusgraph">Compose for JanusGraph</a> provides a fully-managed, highly-available, and production-ready JanusGraph on AWS, GCP or IBM Cloud. Deployed in minutes, every JanusGraph deployment on Compose is built with highly available storage and graph engines. The JanusGraph Storage engine is a cluster of the Scylla database. As usage increases or application requirements change, users can vertically or horizontally scale the JanusGraph Engine and Storage to increase throughput or storage.
+ <a href="https://grakn.ai/"><img src="img/logos/grakn-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ <a href="https://grakn.ai/">GRAKN.AI</a>™ is a distributed knowledge graph that brings knowledge ontologies and transactional data together to enable intelligent querying of data. Querying is performed through the language: Graql, a declarative, knowledge-oriented graph query language for retrieving explicitly stored and implicitly derived information, as well as to perform graph analytics and automated reasoning.
</div>
<div class="col-sm-6 col-md-6">
- <a href="http://janusgraph.org/"><img src="img/logos/janusgraph-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
- <a href="http://janusgraph.org/">JanusGraph</a>® is an Apache2 licensed scalable, distributed graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a transactional database that can support thousands of concurrent users executing complex Gremlin traversals in real time. JanusGraph also provides an in-memory, compression-based OLAP processor as well as integrates with Apache TinkerPop's Spark OLAP processors.
+ <a href="https://compose.com/databases/janusgraph"><img src="img/logos/ibm-compose-janusgraph-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ IBM® <a href="https://compose.com/databases/janusgraph">Compose for JanusGraph</a> provides a fully-managed, highly-available, and production-ready JanusGraph on AWS, GCP or IBM Cloud. Deployed in minutes, every JanusGraph deployment on Compose is built with highly available storage and graph engines. The JanusGraph Storage engine is a cluster of the Scylla database. As usage increases or application requirements change, users can vertically or horizontally scale the JanusGraph Engine and Storage to increase throughput or storage.
</div>
</div>
<br/>
<div class="row">
<div class="col-sm-6 col-md-6">
- <a href="http://cambridge-intelligence.com/keylines/"><img src="img/logos/keylines-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
- <a href="http://cambridge-intelligence.com/keylines/">KeyLines</a>™ is an Apache TinkerPop and Gremlin compatible JavaScript SDK for quickly and easily building powerful, custom and scalable graph visualization applications. The KeyLines SDK offers a rich library of functionality to help you visualize and explore the data in your graph database, including graph layouts, social network analysis measures, filtering, temporal graph visualization and geospatial graph analysis. It allows the visualization of complex graph data at scale.
+ <a href="http://janusgraph.org/"><img src="img/logos/janusgraph-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ <a href="http://janusgraph.org/">JanusGraph</a>® is an Apache2 licensed scalable, distributed graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a transactional database that can support thousands of concurrent users executing complex Gremlin traversals in real time. JanusGraph also provides an in-memory, compression-based OLAP processor as well as integrates with Apache TinkerPop's Spark OLAP processors.
</div>
<div class="col-sm-6 col-md-6">
- <a href="http://linkurio.us/"><img src="img/logos/linkurious-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
- <a href="http://linkurio.us/">Linkurious</a>™ is a browser-based graph visualization software to search, explore and visualize connected data. It is compatible with Apache TinkerPop and thus, any TinkerPop-enabled graph system. Linkurious provides enterprise-ready security (authentication, access rights, audit) and flexibility (API, linkurious.js JS graph visualization library) to help software architects successfully deploy graph capabilities within their organizations.
+ <a href="http://cambridge-intelligence.com/keylines/"><img src="img/logos/keylines-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ <a href="http://cambridge-intelligence.com/keylines/">KeyLines</a>™ is an Apache TinkerPop and Gremlin compatible JavaScript SDK for quickly and easily building powerful, custom and scalable graph visualization applications. The KeyLines SDK offers a rich library of functionality to help you visualize and explore the data in your graph database, including graph layouts, social network analysis measures, filtering, temporal graph visualization and geospatial graph analysis. It allows the visualization of complex graph data at scale.
</div>
</div>
<br/>
<div class="row">
<div class="col-sm-6 col-md-6">
- <a href="http://neo4j.com/"><img src="img/logos/neo4j-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
- <a href="http://neo4j.com/">Neo4j</a>™ is the most widely used open source, transactional graph database with a large active user and customer community. Because of its scalability and ease of use, Neo4j is applied in a wide variety of use cases from fraud detection, access control to recommendation and investigative journalism. Along with the openCypher graph query language, Neo4j also supports Apache TinkerPop and currently serves as its OLTP reference implementation.
+ <a href="http://linkurio.us/"><img src="img/logos/linkurious-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ <a href="http://linkurio.us/">Linkurious</a>™ is a browser-based graph visualization software to search, explore and visualize connected data. It is compatible with Apache TinkerPop and thus, any TinkerPop-enabled graph system. Linkurious provides enterprise-ready security (authentication, access rights, audit) and flexibility (API, linkurious.js JS graph visualization library) to help software architects successfully deploy graph capabilities within their organizations.
</div>
<div class="col-sm-6 col-md-6">
- <a href="http://orientdb.com/"><img src="img/logos/orientdb-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
- <a href="http://orientdb.com/">OrientDB</a>™ is an open source distributed graph database with native support for Apache TinkerPop and the Gremlin graph traversal language. OrientDB handles relationships by using persistent pointers, rather than expensive join runtime operations. This guarantees a fast, constant O(1) time for traversing, no matter the database size. Furthermore, OrientDB is not only a graph database, but a multi-model database able to manage documents, keys/values, objects, full-text and spatial data.
+ <a href="http://neo4j.com/"><img src="img/logos/neo4j-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ <a href="http://neo4j.com/">Neo4j</a>™ is the most widely used open source, transactional graph database with a large active user and customer community. Because of its scalability and ease of use, Neo4j is applied in a wide variety of use cases from fraud detection, access control to recommendation and investigative journalism. Along with the openCypher graph query language, Neo4j also supports Apache TinkerPop and currently serves as its OLTP reference implementation.
</div>
</div>
<br/>
<div class="row">
<div class="col-sm-6 col-md-6">
+ <a href="http://orientdb.com/"><img src="img/logos/orientdb-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
+ <a href="http://orientdb.com/">OrientDB</a>™ is an open source distributed graph database with native support for Apache TinkerPop and the Gremlin graph traversal language. OrientDB handles relationships by using persistent pointers, rather than expensive join runtime operations. This guarantees a fast, constant O(1) time for traversing, no matter the database size. Furthermore, OrientDB is not only a graph database, but a multi-model database able to manage documents, keys/values, objects, full-text and spatial data.
+ </div>
+ <div class="col-sm-6 col-md-6">
<a href="http://stardog.com/"><img src="img/logos/stardog-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
<a href="http://stardog.com/">Stardog</a>™ is a graph database optimized for enterprise data unification. It supports both semantic graphs, via RDF, SPARQL, and OWL, as well as property graphs via Apache TinkerPop and Gremlin--it's the only graph database that supports both models over the same database, simultaneously. Stardog also supports hybrid data unification architectures, seamlessly blending data warehouse, system of record, and virtual query strategies. Stardog is suited for enterprise data silo challenges.
</div>
+ </div>
+ <br/>
+ <div class="row">
<div class="col-sm-6 col-md-6">
<a href="http://tomsawyer.com/products/perspectives/"><img src="img/logos/tomsawyer-logo.png" style="padding-right:20px;float:left;width:35%;"></a>
<a href="http://tomsawyer.com/products/perspectives/">Tom Sawyer Perspectives</a>™ is advanced graphics-based software for building enterprise-class data relationship visualization and analysis applications. It is a complete Software Development Kit (SDK) with a graphics-based design and preview environment. Tom Sawyer Perspectives combines visualization, layout, and analysis technology with an elegant platform architecture. Tom Sawyer Perspectives enables interaction with graph database systems via Apache TinkerPop.
</div>
+ <div class="col-sm-6 col-md-6">
+
+ </div>
</div>
</div>
<br/>