TigerGraph has announced TigerGraph 3.0, the newest version of its graph database and analytics product. The solution touts what TigerGraph is calling “the industry’s first “easy button” for analysis.” The featured product enhancement in this version include the ability to run graph queries using drag-and-drop functionality so non-technical users can benefit from advanced graph analytics.
TigerGraph offers a graph database platform for enterprise applications. The product supports real-time deep link analytics for organizations with large data volumes. TigerGraph can be utilized for applications like IoT, AI, and machine learning to make sense of changing big data. The solution also provides personalized recommendations, fraud prevention, supply-chain logistics, and company knowledge graph.
TigerGraph 3.0 provides a no-code path to convert schema and load data to a graph. The visual query builder allows non-technical users to produce and run graph queries by drawing the patterns they want, similar to visual data modeling. TigerGraph also enables easier and faster deployment across distributed environments. User-defined indexing lets users speed up the database performance for specific queries. TigerGraph indexes support both point and range queries as well.
In a media statement about the release, TigerGraph CEO Dr. Yu Xu said: “Our mission at TigerGraph is to uncover meaningful, actionable, real-time insights from data – insights that can make a real difference in people’s lives – and to make scalable graph analytics available to everyone. TigerGraph’s work in advanced graph analytics has been validated by market recognition, next-generation customer applications and steady product innovation.”
TigerGraph 3.0 will be available as a limited release this month with general availability coming afterwards. Learn more about TigerGraph’s Native Parallel Graph (NPG) database platform.
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