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TigerGraph is a scalable graph database platform designed for deep link analytics, enabling businesses to uncover insights from complex and interconnected data. It offers real-time analytics, machine learning, and AI capabilities, making it a powerful tool for data scientists and developers working on complex data problems.
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Provides the ability to perform real-time analytics on complex and interconnected datasets.
Designed to scale horizontally to handle large volumes of data and complex queries efficiently.
Enables deep exploration of relationships within data to uncover hidden insights.
Supports integration with machine learning models to enhance data analysis and predictions.
Offers flexible deployment options including cloud-based and on-premises solutions.
Includes a library of built-in graph algorithms for common and complex data analysis tasks.
Supports multiple data models including property graphs and RDF graphs.
Ensures high availability and fault tolerance for critical applications.
Provides comprehensive tools and APIs for developers to build and deploy graph-based applications.
Includes robust security features to protect sensitive data and ensure compliance.
Redwood City, California, USA
Dr. Yu Xu, Mingxi Wu, and other co-founders
TigerGraph DB, TigerGraph Cloud
Financial Services, Healthcare, Retail, Manufacturing, Telecommunications, and more
Recognized in multiple industry awards for innovation in graph database technology
Offers a vibrant community, comprehensive documentation, and professional support services
Security headers report is a very important part of user data protection. Learn more about http headers for tigergraph.com