Graph-Powered Analytics: Why You Need It and How to Learn It
Businesses need to stay ahead of the competition, to cut losses, and to find more revenue. By looking at their data as a network and then analyzing the connections –…
TigerGraph Unveils Enhanced Graph Data Science Library With More Than 50 Algorithms
TigerGraph Unveils Enhanced Graph Data Science Library With More Than 50 Algorithms By Victor Lee, VP of Machine Learning and AI When I completed my Ph.D. research on graph algorithms,…
TigerGraph Cloud is Now Available On All Three Major Public Cloud Marketplaces
Customers can use their existing Cloud Marketplace account to consume services on TigerGraph Cloud offering We are delighted to share that TigerGraph Cloud is now available on all three major…
Expand Your Data and Analytics Capabilities with TigerGraph Connectors
Expand Your Data and Analytics Capabilities with TigerGraph Connectors by Rayees Pasha, Product Lead, TigerGraph Database Your data is only as good as your ability to understand and utilize it.…
Introducing TigerGraph 3.1
by Rayees Pasha, Product Manager, TigerGraph On December 2nd 2020, we announced the general availability release of TigerGraph version 3.1. In this blog, we would like to provide more details…
User-defined Indexes In TigerGraph 3.0
Introduction User-defined Indexes or Secondary Indexes (as they are commonly called in Database Industry) are a critical feature that enhance the performance of a database system. Indexes allow users to…
Introducing TigerGraph 3.0
This blog is the first in a series to unveil the TigerGraph 3.0 GA release. In this blog, we would like to talk about the motivation behind the release, the…
