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/>
