The Amazon Web Services (AWS) Amazon Neptune team selected Tom Sawyer Perspectives to support their fully-managed graph database service with a fully-integrated solution to visualize and analyze data and connections.
As an AWS Partner, we work closely with the Neptune team. For example, we built the first and only end-to-end application to visualize and analyze graph data in Neptune, and presented it at AWS re:Invent 2017.
AWS Amazon Neptune – A fast, reliable, graph database service built for the cloud
Integrating Tom Sawyer Perspectives with AWS Amazon Neptune gives your organization more choice and a competitive advantage in solving your big data problems. For example:
See the Use Cases below for sample applications deployed on AWS.
The Designer is included in the SDK and enables developers to quickly build and preview production-quality, data-driven, visualization and analysis applications. Once built, they are easily deployed on AWS.
The Designer's unique Neptune schema extraction feature saves you time and effort. It also includes graphical tools to define data sources, rules, views, filters, searches, and more.
All of the Use Cases listed below are deployed on AWS.
Data scientists, analysts, architects, and developers can use the Graph Database Browser integrated with AWS Amazon Neptune. It executes native Neptune load commands for you, making it easy to import data from Amazon S3. You can instantly see connections in your data, view social networks, apply different layout styles, and perform graph analysis with built-in analytics.
Companies and systems integrators can build a fraud detection application for Amazon Neptune using Tom Sawyer Perspectives and deploy it on AWS. This gives you a clearer, more robust view of relationships between fraudulent activities and transactions. Organizations can identify highly connected individuals who participate in fraud, leading to the dismantling of these networks.
Bringing together Tom Sawyer Perspectives and AWS Amazon Neptune helps enterprise architects, network administrators, and cyber security analysts better design, test, and manage networks. Using preset graph queries and context-sensitive menus, you can expand and zoom in on network topologies. If a server goes down, you can investigate and view affected devices in real-time, identify alternative routing using built-in graph algorithms, and greatly reduce risk and downtime.
With Tom Sawyer Perspectives and AWS Amazon Neptune, scientists have a new platform for building applications to graphically illustrate their data. This integration provides a faster, more reliable method to navigate relationships and patterns in the data. Scientists can store models of the disease and gene interactions, search for graph patterns in protein pathways, use graphs to model chemical pathways, and query for patterns in molecular structures.
Try a free demonstration of Uses Cases shown above.
Contact us to request a free evaluation or live demonstration of AWS Amazon Neptune integrated with Tom Sawyer Perspectives: