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TigerGraph

About TigerGraph

TigerGraph provides a graph AI platform built on a distributed native graph database. TigerGraph is described as a graph analytics software company that connects data assets to deliver enterprise-level knowledge and insights. It is positioned as a relationship intelligence and control layer for enterprise AI. It is built for fraud, AML/KYC, identity, customer intelligence, and AI systems operating in regulated environments at enterprise scale. The database stores data as entities and the relationships between those entities.

Products

  • TigerGraph GraphDB: A native, distributed, massively parallel processing graph database that supports AI and data science practices.
  • TigerGraph Enterprise: Delivers the core database for self-managed, on-premises use.
  • GraphStudio: A user-friendly interface for visualizing and analyzing graph data.
  • Insights: A no-code data visualization and analytics add-on.
  • Solution Kits: Ready-to-use industry-specific solutions that package schemas and queries.

Used for

  • Detecting fraud in real-time
  • Detecting money laundering in real-time
  • Building real-time digital twins of highly connected operations
  • Creating real-time customer 360 views
  • Resolving data ambiguity through entity resolution

Who it is for

  • Used in production across banking, manufacturing, pharmaceutical, retail, and telecom industries.
  • Used by data scientists and developers to design and deploy analytical solutions.
  • Applicable to financial services.
  • Applicable to healthcare and life science.

From TigerGraph's own website, read 2026-10-23. How we build listings.

How to evaluate Database Platforms

This is how the CIOPages Research Team evaluates this category. It is not an assessment of TigerGraph. It comes from our Enterprise Database Platforms buyer guide.

25%
Data Model & Query Fit
Match of the engine to the workload: relational integrity and joins, document/JSON flexibility, key-value latency; transaction isolation levels and ACID guarantees; SQL standard coverage and dialect quirks; secondary indexes, full-text and vector (pgvector / Atlas Search) support; foreign keys and referential integrity where you need them
20%
Consistency, Scale & HA
Single-primary vs. multi-writer; synchronous vs. async replication and resulting RPO; read-replica and sharding story; horizontal write scale and global/multi-region behavior (strong vs. eventual consistency); failover time, achievable RTO, and how partitions are handled under load
20%
Operability & Managed-Service Experience
Quality of the managed offering (RDS/Aurora, Azure SQL, Cloud SQL/AlloyDB) vs. self-managed burden; in-place and major-version upgrade path; backup/PITR, observability, and connection pooling; autoscaling and serverless options; day-2 toil — vacuum/compaction, index bloat, rebalancing — and the depth of the DBA skills it demands
15%
Licensing & Portability
License class and its real constraints: OSI open source (PostgreSQL, MySQL, Valkey, Redis 8 AGPL) vs. source-available (MongoDB SSPL, CockroachDB enterprise/BSL) vs. proprietary (Oracle, SQL Server); cloud lock-in of proprietary engines (Aurora, Spanner, DynamoDB); wire-protocol and SQL-dialect compatibility that preserves an exit; audit exposure on proprietary metrics
12%
Security & Compliance
Encryption at rest and in transit, TLS enforcement, and key management (BYOK/HSM); row- and column-level security and fine-grained RBAC; field-level / queryable encryption for sensitive data; audit logging; data-residency controls and certifications (SOC 2, ISO 27001, HIPAA, PCI, FedRAMP) on the managed service
8%
Ecosystem & Talent
Driver and ORM maturity across your languages; migration and CDC tooling (logical replication, Debezium, DMS); breadth of extensions and integrations; size and hireability of the talent pool; quality of docs and the support path — first-party vendor vs. third-party (EDB, Percona, Crunchy) for open engines

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

www.tigergraph.com Pricing page
CategoryData & Analytics
SubcategoryDatabase Platforms
PricingUsage-based

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