The $458 Billion Per Year Tax Evasion Problem – Can Graph Database and Analytics Help?
As the deadline to file the taxes, April 15th looms large in the United States, I have been thinking about paying our fair share of taxes and what we can…
Hansel and Gretel & Big Data Analytics with Graphs
My daughter, a high schooler heard me chatting with a client last week and asked me, “Why do you keep going on and on about GSQL and something called the…
How Graph Databases are Transforming Energy Management Systems (EMS)
The economic impact of a power outage is massive. Energy consultant E Source claims that eight key U.S. market segments are losing about $27 billion per year due to power…
Leveraging Geospatial Data with a Native Parallel Graph Database
Paradigm Shift Enables TigerGraph to Uncover Hidden Insights from Geolocation Data Have you wondered how you can add and leverage geospatial data to your applications? There is a massive amount…
Graph-Based Customer Entity Resolution
1. Problem Description Enterprises know the benefits of merging data from multiple sources, to build more detailed and more complete records about their customers, their products, their employees, etc. The…
Building a Graph Database on a Key-Value Store?
by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link…
Half-Terabyte Benchmark Neo4j vs. TigerGraph
Neo4j's loading time is shorter than TigerGraph; however, Neo4j requires extra preprocessing that extracts the vertex file from the edge file. After including the pre-processing time, Neo4j takes longer time to loading than…
