TigerGraph

What TigerGraph does

TigerGraph, Inc. is a private US-based graph database company founded in 2012 and headquartered in Redwood City, California. The company builds an enterprise-scale, native massively parallel graph database designed to store and traverse highly connected data in real time at petabyte scale, supporting multi-hop queries (10+ hops) across billions of vertices and edges with claimed sub-100ms latency. Its core platform is the TigerGraph DB engine, available as the on-premise or Kubernetes-native TigerGraph DB deployment, the cloud-native managed service TigerGraph Savanna, and a free Community Edition offering 16 CPUs, 200GB of graph storage, and 100GB of vector storage free for production use. On top of this foundation, TigerGraph offers an AI & Graph Intelligence module suite — GraphRAG, Agentic AI, Hybrid Graph + Vector Search, the Graph Data Science Library (with NVIDIA-accelerated GNN/XGBoost workflows), and the cloud-native TigerGraph CoPilot generative-AI assistant — together with developer tools (GraphStudio, Insights, Connectors) and language support for GSQL, openCypher, and ISO GQL.

The company's customer base is anchored by Fortune and Global 2000 enterprises across financial services (JPMorgan Chase, Mastercard, American Express, NICE Actimize), automotive and manufacturing (Jaguar Land Rover, Ford, Illumina, Hoptek), telecommunications and media (AT&T, Xandr, Microsoft Xbox), healthcare and life sciences (Amgen, Illumina), and consulting (KPMG, Deloitte). TigerGraph generates revenue primarily through recurring enterprise subscriptions to TigerGraph Savanna and TigerGraph DB, supplemented by on-premise enterprise licensing, professional services, and training revenue from TigerGraph University. A free Community Edition and self-serve tgcloud.io workspace drive a product-led growth funnel into paid tiers, while a formal PartnerGraph reseller/SI channel and named cloud partnerships (AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks) extend reach. Go-to-market combines enterprise field sales (Trial/Schedule Demo/Contact Sales CTAs), inside sales, product-led growth, community-led developer engagement (Graph Gurus webinar series, annual Graph + AI Summit, Developer Hub, Community Forum), and event-driven demand generation.

TigerGraph has raised over $170 million in disclosed funding across multiple rounds including a $105M Series C in 2021 led by Tiger Global Management and a strategic investment from Cuadrilla Capital in July 2025. The company has expanded globally across North America, EMEA, and APAC, tripled its workforce during the 12 months through December 2021, and operates a Chinese-language domain (tigergraph.com.cn). It acquired a data integration and graph processing startup in March 2026 to strengthen cloud-native graph analytics capabilities. Leadership transitioned from co-founder and CEO Dr. Yu Xu (through 2021) to Hamid Azzawe (by May 2024) and subsequently to Rajeev Shrivastava (ex-Google, NICE inContact). Recognized as a JPMorgan Chase Hall of Innovation inductee in December 2021 and cited in Gartner's Top 10 Data & Analytics Technologies trend, TigerGraph competes in the enterprise graph database and knowledge-graph infrastructure market against relational databases, single-node graph databases, and document-only RAG approaches.

Name

TigerGraph

Legal name

TigerGraph, Inc.

Website

https://tigergraph.com

Company type

Private

Founded year

2012

Headcount range

101–250 employees

Short description

TigerGraph is a private US-based graph database company that builds a native massively parallel graph platform for real-time analytics on highly connected enterprise data, serving Fortune and Global 2000 customers in financial services, healthcare, manufacturing, and media with AI-powered modules including GraphRAG and CoPilot.

Ownership category

akta.pro rank

Product category

Enterprise Graph Database Platform

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro industry

PRIMARYHDAEANAH

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

SECONDARYHDAEABAB

Lakehouse Platforms

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Data Warehousing, Lakehouse & Data Platforms

SECONDARYHDAAACAB

Model Hosting, Serving & Inference Platforms

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/Foundation Models & Generative AI (LLMs, multimodal)

Keywords

• Graph database platform
• Connected data analytics
• Enterprise AI infrastructure
• Fraud detection software
• Knowledge graph engine

Headquarters

HQ city

Redwood City

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. TigerGraph Savanna / Enterprise Subscription: Recurring subscription revenue from cloud-native TigerGraph Savanna managed graph database service and TigerGraph DB enterprise on-prem/self-managed deployments, sold via quote-based enterprise contracts (Trial / Schedule Demo motion).
2. Community Edition (Freemium): Free, production-usable Community Edition (16 CPUs, 200GB graph storage, 100GB vector storage) used as a land-and-expand funnel into paid Savanna / Enterprise tiers.
3. Professional Services, Training & Support: Revenue from TigerGraph University training & certifications, TigerGraph Support contracts, Production Guidelines services, and implementation enablement – typically attached to enterprise license deals.
4. Enterprise Software Licensing: Traditional software licensing component of TigerGraph DB enterprise deployments alongside the Savanna subscription, including on-prem and Kubernetes-native installations.

Pricing tiers

Go-to-market motion6 records

Distribution channels5 records

Marketing channels10 records

Core offering

TigerGraph develops and sells an enterprise-scale native parallel graph database platform (TigerGraph DB) available as a cloud-native managed service (TigerGraph Savanna) and on-prem/Kubernetes deployment. The platform enables real-time analytics on highly connected data with sub-100ms response times at petabyte scale, supporting use cases such as fraud detection, entity resolution, customer 360, recommendation engines, and supply chain analytics. AI-native extensions including GraphRAG, TigerGraph CoPilot, and Hybrid Graph + Vector Search ground generative AI in connected enterprise knowledge graphs.

Product overview

TigerGraph is an enterprise-scale AI-powered graph database platform offered as a platform-plus-modules architecture. Its foundation is TigerGraph DB, a native massively parallel graph database available in Community Edition and as the cloud-native managed service TigerGraph Savanna, with the newer GraphHouse architecture (announced May 2024) extending graph analytics onto data lakes. On top of this core, TigerGraph offers a suite of AI & Graph Intelligence modules — GraphRAG, Agentic AI, Hybrid Graph + Vector Search, the Graph Data Science Library, and the TigerGraph CoPilot generative-AI assistant — supported by developer tools (GraphStudio, Insights, Connectors), languages (GSQL, openCypher, ISO GQL), and pre-built Solution Kits. Together these products enable real-time fraud detection, entity resolution, customer 360, recommendation engines, supply chain analysis, and explainable generative AI grounded in connected enterprise data.

Differentiator

Problem solved

Functional benefit

Products and services

• TigerGraph Savanna

Quantifiable outcome

• 1000x faster than traditional databases (vendor claim)
• +11 more outcomes

Named customers23 records

Segments6 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability14 records

Feature9 records

Partnerships

Ten partnerships are on record, tiered flagship, core and minor.

• JPMorgan ChaseflagshipStrategic or Co-development Partner · 16 December 2021Multi-year relationship protecting 60M+ U.S. households with real-time fraud detection. TigerGraph was inducted into the JPMorgan Chase Hall of Innovation in December 2021 and continues to deliver deeper data-based insights into clients and transactions; JPMorgan Chase executives (e.g., Brad Spiers, Executive Director) keynote at TigerGraph's Graph + AI Summit on combining graph and ML.
• MastercardflagshipStrategic or Co-development PartnerApproximately six-year partnership covering graph-based AI infrastructure for fraud detection. Mastercard's EVP of AI Rohit Chauhan and Senior VP & Head of AI Garage Nitendra Rajput publicly endorse the partnership; co-hosted a CDO Magazine Executive Boardroom Dinner in NYC on March 12, 2025; Mastercard speakers feature prominently in TigerGraph's Graph + AI Summit (e.g., 'Graph Representation Learning to Secure the Global Payments Ecosystem').
• Amazon Web Services (AWS)coreTechnology or IntegrationTigerGraph Cloud is hosted on AWS, with TigerGraph using AWS to provide its cloud-based graph analytics service (referenced in the TigerGraph Privacy Policy). TigerGraph is deployable on AWS with Kubernetes-native architecture, and AWS is highlighted as a featured cloud deployment option on the website.
• SnowflakecoreTechnology or IntegrationPre-built connector for Snowflake listed among TigerGraph's rich APIs and connectors, enabling data ingestion/integration with the Snowflake cloud data platform.
• DatabrickscoreTechnology or IntegrationPre-built connector for Databricks enabling integration with the Databricks Lakehouse Platform for graph + ML workflows.
• Apache KafkacoreTechnology or IntegrationPre-built Kafka connector for real-time streaming data ingestion into TigerGraph graph workloads.
• Apache SparkcoreTechnology or IntegrationPre-built Spark connector enabling graph data processing alongside Spark analytics and ML pipelines.
• Microsoft AzurecoreTechnology or IntegrationTigerGraph deploys on Microsoft Azure as one of its three featured cloud platforms (AWS, Google Cloud, Azure) alongside Kubernetes-native architecture.
• Google Cloud Platform (GCP)coreTechnology or IntegrationTigerGraph deploys on Google Cloud Platform as one of its three featured cloud platforms, supporting Kubernetes-native, auto-scaling deployments.
• HoptekminorStrategic or Co-development PartnerHoptek built a real-time AI-powered operations digital twin and decision engine on TigerGraph for trucking fleet planning, computing thousands of real-life routes in milliseconds; CEO Balaji Guntur co-presented at Graph + AI Summit 2024 on transforming fleet planning with Graph + AI.

Scale indicators9 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Neo4j: Largest independent graph database vendor and TigerGraph's closest direct competitor, offering native graph storage, the Cypher query language, and Graph Data Science tooling for fraud, customer 360, and supply chain use cases at enterprise scale.
• ArangoDB: Multi-model database (graph, document, search) with native parallel graph capabilities targeting similar enterprise fraud, identity resolution, and customer 360 use cases; comparable in scale to TigerGraph's mid-market and PLG segment.
• Stardog: Enterprise knowledge graph platform with SPARQL/SQL query layer and strong data virtualization capabilities; competes with TigerGraph in life sciences, financial services, and GraphRAG-adjacent knowledge graph deployments.

Broad incumbents

• Amazon Neptune: AWS-managed graph database service supporting property graph and RDF models; competes head-to-head with TigerGraph on cloud-native enterprise graph workloads and benefits from being bundled into the AWS ecosystem where TigerGraph Savanna also runs.
• Microsoft Azure Cosmos DB: Hyperscale multi-model database that includes a Gremlin-compatible graph API; competes with TigerGraph on enterprise graph workloads, especially for Microsoft-shop customers, and bundles graph into broader Azure data platform contracts.
• Databricks: Lakehouse platform with GraphFrames and incremental graph capabilities that overlaps with TigerGraph's GraphHouse strategy of running graph analytics on Delta Lake data; a formidable broad incumbent that already integrates with TigerGraph via the Databricks connector.

Emerging players

• Memgraph: In-memory graph database built on Cypher with focus on real-time streaming graph analytics; overlaps with TigerGraph on real-time fraud and recommendation workloads but is earlier-stage and smaller in enterprise footprint.
• JanusGraph: Open-source distributed graph database under Linux Foundation, often deployed as a free alternative to Neo4j/TigerGraph; competes in the same enterprise graph workloads but lacks a commercial vendor and managed cloud offering comparable to TigerGraph Savanna.
• Pinecone: Managed vector database purpose-built for AI applications; competes with TigerGraph's Hybrid Graph + Vector Search for AI infrastructure spend and represents the primary specialized vector-native alternative that TigerGraph must displace in enterprise AI pipelines.

Regional players

• Ontotext (GraphDB): GraphDB and semantic knowledge graph platform with deep European presence, primarily serving EU enterprises in publishing, healthcare, and life sciences; comparable to TigerGraph on RDF-based knowledge graph and GraphRAG use cases but geographically distinct.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/tigergraphdb
• Facebookfacebook.com/TigerGraphDB

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Subsidiaries1 record

Funding overview

Funding rounds8 records

Investors18 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about TigerGraph