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TigerGraph connects data to reveal relationships that drive breakthrough insights, powering real-time AI and analytics at enterprise scale.

TigerGraph is an enterprise-scale graph database designed for real-time AI and analytics. It analyzes massive, highly connected data, enabling organizations to understand relationships between people, transactions, devices, products, and events. TigerGraph's native massively parallel graph architecture supports queries across billions of vertices and edges with <100ms latency. It is built for applications like fraud detection, entity resolution, customer intelligence, and AI systems. TigerGraph provides GSQL, OpenCypher, and ISO GQL query languages and deploys anywhere via Kubernetes, offering auto-scaling and seamless integration with DevOps pipelines. It targets developers and data scientists looking to unlock hidden value in connected data.
TigerGraph is an enterprise-scale graph database designed for real-time AI and analytics.
Explore all tools that specialize in fraud detection. This domain focus ensures TigerGraph delivers optimized results for this specific requirement.
Explore all tools that specialize in supply chain optimization. This domain focus ensures TigerGraph delivers optimized results for this specific requirement.
TigerGraph utilizes a distributed architecture to parallelize graph computation across multiple nodes, enabling fast query execution on massive graphs.
TigerGraph's GSQL is a Turing-complete query language designed for expressing complex graph algorithms and traversing deep relationships.
A collection of pre-built graph algorithms and functions for tasks such as community detection, pathfinding, and centrality analysis.
Enhances Retrieval Augmented Generation (RAG) by incorporating graph-based knowledge to provide more contextually relevant information to Large Language Models.
Supports streaming data ingestion and real-time graph updates for applications requiring up-to-the-minute insights.
Create a free TigerGraph Cloud account.
Select a pre-built starter kit or create a new graph.
Define the graph schema including vertices and edges.
Load data into the graph using GSQL or the built-in data loader.
Write and execute graph queries using GSQL.
Visualize graph data using GraphStudio.
Integrate with other applications using REST API or SDKs.
All Set
Ready to go
Verified feedback from other users.
"Customers highlight TigerGraph's ability to connect data sources and answer complex questions that were previously impossible. Users also praise its performance in ingesting and processing large datasets."
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