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…
Introducing TigerGraph Cloud: The Fastest and Most Complete Graph Database-As-A-Service for Everyone
Today we are proud to introduce TigerGraph Cloud, the simplest, most robust and cost effective way to run scalable graph analytics in the cloud. As graph continues to cross the…
‘Tis the season for AWS re:Invent
It’s that time of the year when 40,000+ people cram into Las Vegas for Amazon AWS re:Invent , which kicks off November 26. If you think about it, the attendees are all…
On “Benchmarking RedisGraph 1.0”
Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph's, following the tests [2] in TigerGraph's benchmark report [3], which requires solid performance on 3-hop, 6-hop, and…
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…
What’s New in TigerGraph: Powering the Fastest Performance For Graph Analytics
Graph databases and analytics have crossed the chasm - and the data supports it. Take, for example, how graph databases are the fastest growing category in all of data management…
TigerGraph Roars Past The Competition: Graph Database Benchmark Findings
With the graph database market on the rise, it is important to understand the differentiators between each vendor. TigerGraph is the first and only native parallel graph with massively parallel…