Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China.
Graph visualization in Neptune using third-party software
In addition to the visualization capabilities built in to the Amazon Neptune workbench,
you can also use solutions built by Amazon partners and third-party vendors for visualizing
data stored in Neptune.
Tom Sawyer Software
Tom Sawyer Perspectives
is a low-code graph and data visualization and analysis development platform for data
stored in Amazon Neptune. Integrated design and preview interfaces and extensive API
libraries allow you to create custom, production-quality visualization applications
quickly. With a point-and-click designer interface and 30 built-in analytics algorithms,
you can design and develop applications to gain insights into data federated from dozens
of sources.
Tom Sawyer Graph
Database Browser makes it easy to visualize and analyze data in Amazon Neptune.
You can see and understand connections in your data without extensive knowledge of the
query language or schema. You can interact with the data without technical knowledge
simply by loading the neighbors of selected nodes and building the visualization in
whatever direction you need. You can also take advantage of five unique graph layouts
to display the graph in a way that provides the most meaning, and can apply centrality,
clustering, and pathfinding analyses to reveal previously unseen patterns.
To see an example of Graph Database Browser integration with Neptune, check out
this
blog post. To get started with a free trial of Graph Database Browser,
visit the
Amazon Marketplace.
Cambridge Intelligence
Cambridge Intelligence
provides data visualization technologies for exploring and understanding Amazon Neptune
data. The graph visualization toolkits (KeyLines
for JavaScript developers and ReGraph
for React developers) offer an easy way to build highly interactive and customizable tools
for web applications. These toolkits leverage WebGL and HTML5 Canvas for fast performance, they support
advanced graph analysis functions, and combine flexibility and scalability with a secure,
robust architecture. These SDKs work with both Neptune Gremlin and RDF data.
Check out these integration tutorials for Gremlin data,
SPARQL
data, and Neptune
architecture.
Here is a sample KeyLines visualization:
Graphistry
Graphistry is a visual
graph intelligence platform that leverages GPU acceleration for rich visual
experiences. Teams can collaborate on Graphistry using a variety of features,
from no-code exploration of files and databases, to sharing Jupyter notebooks
and Streamlit dashboards, to using the embedding API in your own apps.
You can get started with low-coding fully interactive dashboards by simply configuring
and launching the graph-app-kit
and modifying just a few lines of code. Check this
blog post for a walkthrough of creating your first dashboard using Graphistry
and Neptune. You can also try the Neptune PyGraphistry
demo. PyGraphistry is a Python visual graph analytics library for notebooks.
Check out this
tutorial notebook for a Neptune PyGraphistry demo.
metaphacts offers a flexible, open
platform for describing and querying graph data and for visualizing and interacting
with knowledge graphs. Using metaphactory,
you can build interactive web applications such as visualizations and dashboards on top
of knowledge graphs in Neptune using the RDF data model. The metaphactory platform
supports a low-code development experience with a UI for data loading, a visual
ontology modeling interface with OWL and SHACL support, a SPARQL query UI and query
catalog, and a rich set of Web components for graph exploration, visualization, search
and authoring.
Here is a sample metaphactory visualization:
The platform is designed for and used productively in engineering, manufacturing,
pharma, life Sciences, finance, insurance, and more. To see a sample solution architecture,
check out this
blog post.
To get started with a free trial of metaphactory, visit the Amazon Marketplace.
