TigerGraph Announces F********* Program For Graph Analytics

Enables Users to Experience the World’s Fastest Graph Analytics Platform Designed to Unleash the Power of Interconnected Data for Deeper Insights and Better Outcomes

TigerGraph, the world’s fastest graph analytics platform for the enterprise, announced its f********* program. Now users can experience the scalability, performance and ease-of-use of TigerGraph with the most complete query language, GSQL.

“TigerGraph’s f********* program allows enterprises to evaluate the power of graph analytics to derive deeper meanings and valuable business insights from their connected data,” said Dr. Yu Xu, founder and CEO, TigerGraph. “In just a few months since our launch, It has redefined the graph database landscape. We invite everyone to experience the power of TigerGraph for themselves with a f********* today.”

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In addition to providing users with sample data and queries to experiment with, the TigerGraph trial also includes GraphStudio, its GUI-based software development kit (SDK), which supports easy data loading, graph model creation and query writing with GSQL. Users can discover all the features of TigerGraph’s user-friendly platform, including:

• Experience GraphStudio for modeling, loading, visualizing graphs and writing queries.
• Write high-performance complex analytics queries using GSQL, the easy-to-use, most complete graph query language.
• Load over 100 GB per machine per hour.
• Perform graph traversals of 3 to 10+ hops with subsecond results.

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 Witness the power of TigerGraph first-hand and see how TigerGraph outperforms all other graph systems in terms of data loading, real-time updates and computation, and analytics.

TigerGraph offers the world’s fastest graph analytics platform that tackles the toughest data challenges in real time, no matter how large or complex the data set. It stores all data sources in a single, unified graph to easily and efficiently explore, discover and predict relationships. Unlike traditional graph databases, TigerGraph can scale real-time multi-hop queries to trillions of relationships.

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