Blog - TigerGraph

Creating a Discord Chat Bot with pyTigerGraph

Creating a Chat Bot to Answer TigerGraph Questions with Discord.py and pyTigerGraph by Shreya Chaudhary What is the Project and Why Complete it? A

January 13, 2021

The Good News Keeps On Coming – Introducing TigerGraph Cloud & Announcing TigerGraph Series B

We’re delighted to share news about two very exciting developments. The first is the launch of our graph database-as-a-service with a free tier for no-risk

September 25, 2019

‘+=’ As The Key That Unlocks The Power of the Network

My job as a TigerGraph SE is to help a prospective customer solve their problems using our product. We are unusually successful, even though we

September 23, 2019

New Query Language for Graph Databases to Become International Standard: GQL

We’re thrilled to see this big step forward for the Graph Query Language (GQL) team, as the key international standards body (ISO/IEC JTC 1) has

September 18, 2019

It’s Not Just Hype – Graph is Transforming Businesses

First, the good news. In a recent report, Top 10 Data and Analytics Technology Trends That Will Change Your Business, Gartner Research identified graph database

August 26, 2019

The Power of Graph Technology for Marketing Medicine

Originally featured on The New Stack An oft-quoted study by the Tufts Center for the Study of Drug Development estimates the cost of developing a

July 30, 2019

Accumulator 101

Originally featured on DZone Motivation GSQL is a Turing complete Graph Database query language. Compared to other graph query languages, the biggest advantage is its support

July 23, 2019

The Beauty of Graph Algorithms with Built-in Parallelism

Many people already know that graph algorithms are the most efficient and sometimes the only solution for complex business use cases, such as clustering different

July 17, 2019

GSQL For Cypher Users

Originally featured on DZone This article is intended for Neo4j Cypher users who want to learn and understand TigerGraph’s GSQL query language. This is by

July 15, 2019

Why Experts See Graph Databases Headed for Mainstream Use

Written by Chris Preimesberger, originally featured in eWeek July 5, 2019 Graph databases are now clearly riding the upward trend toward mainstream adoption for which

July 10, 2019

How to Transform Healthcare with Real-Time Deep Link Analytics? Graph Databases

Originally featured on FierceHealthcare. Americans spent $3.65 trillion on healthcare in 2018, federal actuaries estimate. That’s an increase of 4.4% over 2017, and it is projected to rise

June 20, 2019

What is a Graph Database and Why Should You Care?

What is a Graph Database? The world is becoming more connected every day and these connections are more valuable than ever. We’re finding ways to

June 11, 2019

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

May 30, 2019

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

November 4, 2019

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?

February 5, 2019