It’s a tale as old as time: you organize a massive database of facts and figures only to discover that the opening visualization is…a giant hairball! Sure, you can zoom in to 800% and slowly start to see connections, but the time that would take is too exhausting to consider.
Fear not! Our new Bundle Layout, now available in Tom Sawyer Perspectives 9.1.0, makes it possible to untangle, demystify, and succinctly visualize complex datasets.
In the past month, the internet has exploded with information about coronavirus and the disease it causes, COVID-19. The vast amount of data feels like too much to keep up with. But that’s where graph and data visualization thrives! So, we used the power of Tom Sawyer Perspectives to visualize the continually updated genomic epidemiology data provided by Nextstrain to reveal previously unseen coronavirus mutations.
You gather your data, choose the best layout, and find an analysis method that gets your users the insight they need. But before you can declare victory, you need to assign meaning to the objects in your graph. Adding labels to nodes and edges might seem easy enough, but sometimes—especially with graph edge labels—their placement can cause readability issues. Since a “messy” presentation can compromise the message and meaning of your graph visualization, you’ll want to do all you can to prevent these.
At AWS re:Invent, we revealed our partnership with Amazon Web Services (AWS) that supports the integration of Tom Sawyer Graph Database Browser and Tom Sawyer Perspectives with Amazon Neptune. Customers can take advantage of the integration and build applications with Perspectives for Amazon’s newest cloud-based graph database service, Neptune.
Amazon Neptune is a fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Our flagship product, Tom Sawyer Perspectives, is designed specifically for building and deploying web applications that visualize and analyze highly related datasets. The two products are tightly integrated.
Tom Sawyer Graph Database Browser makes it easy for anyone to load data into Amazon Neptune and start analyzing the graphs. The application is the first and only to visualize and analyze data in Amazon Neptune as well as automatically execute native Neptune load commands to import data directly from Amazon Simple Storage Service (S3) into the database.
Together with AWS Amazon Neptune, our deep integration creates a super convenient and easy-to-use cloud-based, fast, and scalable graph database and visualization solution.
Want to try visualizing AWS Amazon Neptune Data?
It’s easy to test drive the Tom Sawyer Graph Database Browser using a free trial on AWS Marketplace. It works with other graph databases too.
The Graph Database Browser includes a number of unique capabilities that go beyond a typical database browser to enhance the AWS Amazon Neptune user experience. Below are just a few.
Swimlane diagrams give context to processes. If you haven’t used them, swimlane diagrams combine the logic of a flow chart with the accountability of an action item list. They show who or what is responsible for each step in a process. Because people and processes are continually changing, automating swimlane diagrams saves you hours of repetitive labor in rearranging and updating content.