Experience TigerGraph’s Superiority in Ease-Of-Use and Performance, Compared to Neo4j and Amazon Neptune, by Unlocking Value from Connected Data in Just One Hour
TigerGraph, the world’s fastest graph analytics platform for the enterprise, announced the free Developer Edition of its graph analytics platform for lifetime non-commercial use. Users can experience firsthand TigerGraph’s superiority in scalability, performance and ease-of-use compared to other solutions – including Neo4j and Amazon Neptune.
“As graphs continue to go mainstream, the next phase of the graph evolution has arrived. Cypher vs. Gremlin is no longer the right question to ask,” said Dr. Yu Xu, founder and CEO of TigerGraph. “The time has come to rethink graph analytics with TigerGraph and GSQL, the most complete query language on the market. One hour with our free Developer Edition is all you need to experience TigerGraph’s superiority in unlocking value from connected data at massive scale.”
TigerGraph brings the world’s fastest and most scalable graph analytics platform to developers to create their own big data graph applications – including those that were previously impossible using earlier generations of graph database technology.
TigerGraph offers enterprise graph MPP (massively parallel processing), to support big data, complex business queries – all with GSQL, the modern graph query language designed to be intuitive for people who already know SQL. Experience key features of TigerGraph, which enable you to:
- Write high-performance complex analytics queries using GSQL, the Turing-complete, easy-to-use, SQL-like graph query language with built-in parallelism.
- Continuously load over 100 GB per machine per hour.
- Perform graph traversals of 3 to 10+ hops with subsecond results, across massive graphs with trillions of vertices and edges, to support complex queries.
- Experience the power of parallelism in data loading, real-time updates and query processing.
“We developed TigerGraph based on years of research and conversations with our customers to address their most pressing needs – a scalable, high performance platform for big data graphs,” said Xu. “The result is the most powerful graph solution for supporting digital transformations initiatives – from enterprise knowledge graphs, customer 360 graphs to Machine Learning, AI and more.”
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. TigerGraph stores all data sources in a single, unified multiple-graph store that can scale out and up 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.
Enterprises and Developers Love TigerGraph
“We ultimately chose TigerGraph over Neo4j and other solutions as an investment to power our future large-scale applications and to also provide us with a solid foundation. TigerGraph’s data warehousing speed and computational processing capacity are higher, improving performance by an order of magnitude. We can obtain results faster with TigerGraph in the case of complex real-time analysis. This greatly improves our response speed to calculate credit scores for anti-fraud.” – Lingyu Gu, CEO, Icekredit
“TigerGraph exceeded our expectations in importing hundreds of gigabytes of data (in three hours) and only a minute or two to update incremental data each day. The 2-hop neighborhood query is all millisecond level, and the QPS of a single machine can reach hundreds, fully meeting our expectations. TigerGraph also supports HA and distributed systems, providing very reliable support for system reliability and scalability. I only have good things to say about the technical support team and its accessibility. TigerGraph offers excellent performance, is easy to use, involves a short development cycle and helps solve big data problems that traditional tools cannot cope with.” – CRO, Cashbus
“We had problems with Neo4j in terms of speed in data loading. While Neo4j took 24 hours, TigerGraph took only three hours. On the query side, Neo4j timed out even on limited data, while TigerGraph provides fast query performance. Performance-wise TigerGraph is superior.” -VP of Data Science from a Top 5 Pharmaceutical Company