What a difference a year makes. One year ago, we presented the public launch of TigerGraph 1.0, delivering the next stage in the evolution of graph database with the world’s fastest and most scalable graph platform. This came after five years in stealth developing state-of-the-art technology...
In May this year, Amazon announced the General Availability of its cloud graph database service called Amazon Neptune. Here is a comprehensive blog that summarizes its strengths and weaknesses. Last year, we published a benchmark report on Neo4j, Titan and TigerGraph. It is intriguing for...
This month we kicked off Graph Gurus, our webinar series for developers who are looking to address real-world problems with graph database technology and graph analytics. Our goal is to make you Graph-Smart, so you can see when a graph could benefit you, and to...
The Next Generation of Graph Databases - Tigergraph & Memgraph Present Join us on August 23, 2018 at 6:30pm in London at Skills Matter | Code Node (10 South Place EC2M 2RB, London, gb) as we speak alongside Memgraph about The Next Generation of Graph Databases. Scaling...
Recommendation systems are used in our daily life for a variety of reasons including products, movies, music, news, and books. These recommendations are based on the user’s historical behavior and the behavior of other users having similar tastes. In this video we will build a...
On June 3 2018, the Commonwealth Bank of Australia was fined $700 million for AML non-compliance. Some of the problem areas at the bank included: Failure to properly monitor transactions for money-laundering red flags on 778,370 accounts for three years. This failure was likely due to...
The time is ripe for an international standard graph query language. Industry vendors including Neo4j have called this out, and we at TigerGraph wholeheartedly agree. As graphs continue to see widespread adoption, we have certainly reached a tipping point for our industry. Still, it is...
Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today: the difficulty of finding proficient graph developers, and how non-standardization on a graph query language is slowing down enterprise adoption, especially...
You know a technology has reached a tipping point when your kids ask about it. This happened recently when my eighth grade daughter asked, “What is Machine Learning and why is it so important?”. Answering her question, I explained how Machine Learning is part of AI,...
Join us on April 11th at Jaleo in Crystal City for tapas, sangria and an educational talk on Big Graph: "Real-Time Deep Link Analytics for BigGraph: Challenges and Solutions" More and more organizations are seeing the value that graph databases can provide: a data model that naturally...
