# TigerGraph

> TigerGraph is a distributed, massively parallel (MPP) graph database and analytics platform for real-time deep-link analytics, entity resolution, fraud and AML detection, and graph-powered AI. This file helps AI assistants find the most useful, authoritative pages.

## Documentation
- [Documentation home](https://www.tigergraph.com/docs/home/): Entry point to all TigerGraph product documentation.
- [TigerGraph Server](https://www.tigergraph.com/docs/tigergraph-server/4.3/): Core database — install, administer, query, and operate.
- [TigerGraph Savanna](https://www.tigergraph.com/docs/savanna/main/): Fully managed cloud service (formerly TigerGraph Cloud).
- [Cloud](https://www.tigergraph.com/docs/cloud/main/): Cloud deployment, billing, and account management.
- [GSQL language reference](https://www.tigergraph.com/docs/gsql-ref/4.3/): The GSQL query and schema language.
- [GraphQL](https://www.tigergraph.com/docs/graphql/3.9/): Querying TigerGraph over GraphQL.
- [GraphStudio & Admin Portal](https://www.tigergraph.com/docs/gui/4.3/): Visual graph development and administration UI.
- [Insights](https://www.tigergraph.com/docs/insights/4.3/): No-code dashboards and graph-powered applications.
- [Graph Data Science Library](https://www.tigergraph.com/docs/graph-ml/3.10/): Graph algorithms and machine-learning library.
- [ML Workbench](https://www.tigergraph.com/docs/ml-workbench/1.4C/): Graph-based machine learning and GNN workflows.
- [pyTigerGraph](https://www.tigergraph.com/docs/pytigergraph/1.8/): Official Python client for TigerGraph.

## Product & Platform
- [Product](https://www.tigergraph.com/product/): Platform capabilities and architecture.
- [Solutions](https://www.tigergraph.com/solutions/): Use cases by industry and problem.
- [Entity resolution](https://www.tigergraph.com/solutions/entity-resolution/): Resolving records into real-world entities with graph.
- [Fraud detection](https://www.tigergraph.com/solutions/fraud-detection/): Detecting fraud rings and anomalies with connected data.
- [Anti-money laundering (AML)](https://www.tigergraph.com/solutions/anti-money-laundering-aml/): Graph analytics for AML and financial crime.
- [Financial services](https://www.tigergraph.com/solutions/financial-services/): Graph across risk, fraud, and customer 360.
- [Pricing](https://www.tigergraph.com/pricing/): Plans and editions.

## Guides & Comparisons
- [Best graph databases in 2026](https://www.tigergraph.com/blog/best-graph-databases/): Buyer's guide to the category.
- [TigerGraph vs Neo4j](https://www.tigergraph.com/comparison/tigergraph-vs-neo4j/): Head-to-head comparison with the market leader.

## Use Cases & Explainers
- [Identity graph vs entity resolution](https://www.tigergraph.com/blog/identity-graph-vs-entity-resolution/): How graph resolves identities across data.
- [AML & money laundering analytics](https://www.tigergraph.com/blog/aml-graph-analytics-money-laundering/): Graph techniques for AML detection.
- [Healthcare graph database](https://www.tigergraph.com/blog/healthcare-graph-database/): Graph for healthcare data and outcomes.
- [Supply chain resilience](https://www.tigergraph.com/blog/supply-chain-resilience-graph-analytics/): Graph analytics for supply-chain risk.

## Learn
- [Blog](https://www.tigergraph.com/blog/): Technical articles and thought leadership.
- [Glossary](https://www.tigergraph.com/glossary/): Definitions of graph, database, and AI concepts.
- [Resources](https://www.tigergraph.com/resources/): Guides, whitepapers, webinars, and demos.

## Company
- [Company](https://www.tigergraph.com/company/): About TigerGraph.
- [Customers](https://www.tigergraph.com/customers/): Case studies and customer stories.
- [Contact](https://www.tigergraph.com/contact/): Get in touch.

## Optional
- [Sitemap](https://www.tigergraph.com/sitemap/): Human-readable index of the site.
- [XML sitemap](https://www.tigergraph.com/sitemap_index.xml): Machine-readable index (includes documentation).