The AI-Powered Graph Database to Solve Your Biggest Challenges

Fraud Detection Entity Resolution Anti-Money
Laundering (AML) Product
Recommendations Customer 360 Supply Chain
Management Cybersecurity
Threat Detection

TigerGraph is the enterprise leader in AI and graph database technology, delivering unlimited parallel storage and computation to power your most critical business needs—from fraud detection, entity resolution, KYC/AML, and more.

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An infographic with four stats: >300% increase in fraud investigations efficiency, 3X increase in identity resolution rates, 26% reduction in customer churn, and 5X improvement in shopper spend, plus a smiling woman’s photo.

Trusted by global enterprises

See What Others Can't: With an
AI-Powered Graph Database

Traditional databases store data in isolation. TigerGraph's advanced graph database technology connects your data to reveal the relationships that drive breakthrough insights—fraud rings, entity resolution, recommendation engines, customer 360, supply chain bottlenecks, and customer journey optimization—the connections that change everything and flat data can't uncover.

1000x

Faster Than Traditional DBs

<100ms

Complex Query Response.

Petabyte

Scale Graph Processing.

Uncover Hidden Connections With a Graph Database

Companies waste billions and billions annually making decisions with isolated data.

Your most valuable insights live in the relationships between your data points. While traditional analytics show you what happened, our graph analytics platform reveals why it happened and predicts what’s next.

A network diagram with connected nodes. Large gray circles with icons for a document, computer, and server are linked to smaller blue and gray circles, representing data or device connections on a dark gradient background.

Before

without

Traditional Data Analytics, Flying Blind

Traditional analytics only shows isolated data points and historical trends. Requires complex joins and multiple queries to understand relationships. Limited to 2-3 hop analysis before performance degrades. Literally unable to see how everything connects.

X-Ray Vision

with

Graph Data Analytics, X-Ray Vision

Graph Analytics reveals the full network of relationships instantly. Performs 10+ hop queries in milliseconds. Uncovers real-time hidden patterns and enables real-time recommendations. Discovers the hidden relationships that drive your business.

Graph RAG

with

Achieve Explainable and Accurate GenAI with GraphRAG

Transform your AI applications with TigerGraph’s GraphRAG capabilities that deliver unprecedented accuracy and explainability in generative AI responses.

advantage

with

Beyond Traditional RAG: The GraphRAG Advantage

Traditional RAG systems retrieve isolated documents, leading to incomplete context and hallucinations. TigerGraph’s graph database software enables GraphRAG to understand the interconnected nature of your knowledge base, providing AI with the full context of relationships between entities, concepts, and data points.

The Enterprise-Scale Graph Database Built for Real-time AI and Analytics

TigerGraph is a graph database purpose-built to analyze massive, highly connected data in real time and powering fraud detection, entity resolution, customer intelligence, and AI systems that demand speed, scale, and explainability.

Most databases store records. TigerGraph analyzes relationships

As an enterprise-scale graph database, TigerGraph models people, transactions, devices, products, and events as connected networks enabling organizations to understand how things are related, not just what happened. This relationship-first design enables faster decisions, deeper insights, and AI that operates with full context instead of isolated data.

Built for Real-Time at Enterprise Scale

<100ms queries across billions of vertices and edges, enabled by a native massively parallel graph architecture.

Designed for AI That Needs Context

The graph foundation behind GraphRAG and explainable AI preserving relationships to reduce hallucinations and improve accuracy.

Enterprise-Grade by Design

ACID compliance, fine-grained security, and cloud-native deployment for mission critical workloads.

Traditional Databases

• Rows and columns
• Shallow relationship analysis
• Delayed insights

TigerGraph Graph Database

Native relationship modeling
• Deep, multi-hop analysis
• Real-time analytics and AI

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Breakthrough Results
Across Industries

Leading companies choose TigerGraph's graph data platform for mission-critical applications where relationships matter most.

Diagram showing security threats approaching a central shield icon, with warning symbols on the left and interconnected user, credit card, money, and web icons on the right, representing data protection.

Financial Services

Stop Fraud Before It Happens

Detect fraud networks in milliseconds, not months—stopping $billions in losses by mapping suspicious transaction patterns across accounts, devices, and locations in real-time with our graph database technology.

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E-commerce

40% Higher Conversion Rates

Increase revenue with real-time recommendations that understand customer behavior patterns, product relationships, and social influences to deliver personalized experiences at scale using our graph analytics platform.

Supply Chain

Prevent Disruptions Before They Cascade

Map supplier dependencies 5+ levels deep in real-time. Identify single points of failure and alternative paths to maintain operations when disruptions occur with enterprise graph database tools.

Query Billions of Relationships in Milliseconds With a Graph Database

While other platforms struggle with complex multi-hop queries, TigerGraph's graph database delivers answers to 6+ degree relationship questions in under 100ms—enabling real-time decisions at enterprise scale.

Native Massively Parallel Storage and Computation

Built from the ground up for fast, scalable graph computation. No performance degradation as your graph grows to billions of vertices and edges with our graph database software.

Real-Time Graph Analytics

Stream processing and real-time updates that deliver instant insights on live data. Make decisions as events happen, not hours or days later with our graph analytics software.

Enterprise Security

ACID compliance, role-based access control, and encryption at rest and in transit. Built for the most demanding enterprise environments requiring robust graph database technology.

What Our
Customers Achieve

"Using graph-based features, our model shows an amazing improvement in detecting 50% more risk events and also improving model precision by 50% at the same time."

Uri Lapido

Senior Product Manager, Intuit

"To tackle all the scattered data correlations within our processes, Illumina has onboarded TigerGraph Savanna to begin building an analytics bridge between the many complex processes to tackle manufacturing bottlenecks and improve investigation turn-around time."

Stephen Horn

Staff Data Engineer, Global Ops

"With TigerGraph we can join sources of data together and make connections within the data that previously we couldn't. We can now answer questions that, for the last 20 years, we didn't think were possible to ask."

Harry Powel

Director of Data and Analytics

“One of the reasons why we chose TigerGraph was performance – TigerGraph was the only company that could ingest our data in 3.5 hours, while the other companies would take 7 hours.”

John Conway

Principal Software Developer

Graph Database is Built for Scale, Designed for Speed

Enterprise graph data platform with developer-friendly graph database tools and cloud-native architecture.

GSQL, OpenCypher, and ISO GQL Query Language

Purpose-built query languages optimized for graph patterns. Express complex graph algorithms in simple, readable syntax with the widest and most powerful query language support in graph analytics software.

Deploy Anywhere, Scale Everywhere

Kubernetes Native. Deploy anywhere—AWS, Azure, GCP, or on-premise. Auto-scaling, zero-downtime updates, and seamless integration with your DevOps pipeline using our cloud-ready graph database technology.

Rich APIs & SDKs that Work

REST APIs, Python, Java, and JavaScript SDKs. GraphQL support and pre-built connectors for Kafka, Spark, Snowflake, Databricks, S3, Tableau and more for popular data sources and visualization tools, making our graph database tools developer-friendly.