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.
Our team just got back from the GEOINT 2017 Symposium where we partnered with the Oracle National Security Group to visualize all the world’s news in near-real time. The demonstration shows how one could conduct cyber threat analysis and geospatial intelligence on a massive, diverse data set, in this case, the GDELT Global Knowledge Graph.
Thanks to our amazing global community, we grew revenue 30% in 2016 in existing and new customer accounts and discovered innovative new use cases. Now we’d like to give back by sharing what we’ve learned in our Newsletter Blog post. Read on to learn about market trends, industry standards, upcoming events, and what’s new in product development.
We see a rise in graph and data visualization activity across market segments including automotive, aerospace and defense, geospatial intelligence, enterprise network and IT Infrastructure, and model-based engineering. For example, at Big Data Paris 2017, Airbus outlined their innovative approach to model-based systems engineering (MBSE) using graph and data visualizations. To support MBSE, they use Tom Sawyer Perspectives to integrate diverse data sourcesand synchronize views so architects, engineers, and business managers can collaborate and streamline the design and manufacture of aircraft.
We’re back from an exciting week at Big Data Paris 2017 where we were featured by our customer Airbus in their presentation on enterprise big data integration and graph visualizations. We were delighted to meet up with our Neo Technology France and UK partners and had a great turnout for our workshop on Airbus and Twitter big data.
At our booth, in addition to the very cool Airbus GAIA demonstration on a two meter-wide multi-touch screen, fraud detection, criminal investigations, and networking
were the hot topics. Our crime network and Panama Papers demos were very popular with attendees looking for big data and graph visualization technology.