Graph visualization in Neptune using third-party software - Amazon Neptune
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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.

An animated visualization of graph data.

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:

Sample KeyLines visualization


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:

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.