TigerGraph Blog
Graph + AI Summit – Getting the Most from Your Virtual Summit Experience
It’s hard to believe that Graph + AI Summit kicks off just next week! While everyone at TigerGraph would like to be together with you
3 Real-time Banking Scenarios for Operational Excellence with TigerGraph
Impressively, banks are among the most digitized companies in the world, offering customers important services instantaneously, such as payments, cash withdrawals, transfers, conversions, and balance
Speeding the Process for Pharmaceutical Drug Approvals
The need for rapid drug discovery and approval has never been more salient as large pharmaceutical companies navigate rising costs, substantial price pressure, and record
Understanding Cybersecurity Threat Hunting – How it Works and its Importance
The constant evolution of technology presents organizations with more sophisticated tools to increase the efficiency of their processes. Unfortunately, technological improvement has also given cyber
Curating and Hyper-personalizing the Banking Customer Journey
Why is it important for banks to hyper-personalize their customers’ journeys? Customer experience (CX) is a widely known competitive differentiation factor for consumer companies. Retail
TigerGraph Developer Spotlight: Max Latey
TigerGraph Developer Spotlights allow you to get to know people using TigerGraph around the world to create powerful connected data solutions answering countless use cases.
What Are the Major Advantages of Using a Graph Database?
A graph database is a data management system software. The building blocks are vertices and edges. To put it in a more familiar context, a
Sink Your Teeth Into FIBO with A Native Parallel Graph Database
Authored by TigerGraph Solutions and Engineering Financial institutions have massive volumes of highly interconnected and structured data, which they need to ingest in real time
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?
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
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
Crossing the Chasm – Eight Prerequisites For A Graph Query Language
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:
