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Enterprise graph analytics
TigerGraph is graph analytics software offering a distributed graph database for deep-link analytics at scale in fraud, supply chain and AI. Founded in 2012 and based in Redwood City, California, USA, TigerGraph helps large enterprises work more efficiently and achieve better outcomes.
TigerGraph is built for large enterprises. It suits teams that want massively parallel graph processing without spreadsheets and disconnected tools.
Compared with alternatives like Neo4j, TigerGraph differentiates on massively parallel graph processing. Pricing is quote-based and scoped to your usage and team size.
Pricing Model
Quote-based
Starting Price
Contact vendor
Free Options
Free trial
Core TigerGraph for growing teams. Contact for a quote.
Advanced TigerGraph for larger organizations. Contact for a quote.
| Feature | Professional Popular | Enterprise |
|---|---|---|
| massively parallel graph processing | , | |
| GSQL query language | , | |
| Integrations | , | |
| Analytics and reporting | , | |
| Standard support | , | |
| Everything in Professional | , | |
| graph ML | , | |
| managed cloud (Savanna) | , | |
| Advanced security and controls | , | |
| Dedicated support and onboarding | , |
Other
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Document database and developer data platform (MongoDB Atlas)
In-memory data store for caching, real-time, and vector search
