TigerGraph
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.
- Company typePrivate
- Founded2012
- HeadquartersRedwood City, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
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.
TigerGraph firmographics
Firmographics- 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
TigerGraph industry classification
Industry- 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 primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Lakehouse Platforms (HDAEABAB), Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where TigerGraph is headquartered
LocationHeadquarters
- HQ city
- Redwood City
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
TigerGraph business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- 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).
- 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.
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Community Edition – free, production-usable |
| Subscription | Annual | TigerGraph Savanna / Enterprise – quote-based |
Go-to-market motion6 records
Distribution channels5 records
Marketing channels10 records
TigerGraph product offering
Product offeringCore 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
Companies that use TigerGraph
Customer profileNamed customers23 records
Segments6 records
Ideal customer profiles5 records
TigerGraph technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability14 records
Feature9 records
TigerGraph partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered flagship, core and minor.
- JPMorgan ChaseflagshipMulti-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.
- MastercardflagshipApproximately 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)coreTigerGraph 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.
- SnowflakecorePre-built connector for Snowflake listed among TigerGraph's rich APIs and connectors, enabling data ingestion/integration with the Snowflake cloud data platform.
- DatabrickscorePre-built connector for Databricks enabling integration with the Databricks Lakehouse Platform for graph + ML workflows.
- Apache KafkacorePre-built Kafka connector for real-time streaming data ingestion into TigerGraph graph workloads.
- Apache SparkcorePre-built Spark connector enabling graph data processing alongside Spark analytics and ML pipelines.
- Microsoft AzurecoreTigerGraph deploys on Microsoft Azure as one of its three featured cloud platforms (AWS, Google Cloud, Azure) alongside Kubernetes-native architecture.
- Google Cloud Platform (GCP)coreTigerGraph deploys on Google Cloud Platform as one of its three featured cloud platforms, supporting Kubernetes-native, auto-scaling deployments.
- HoptekminorHoptek 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
TigerGraph competitors and assessment
Company assessmentDirect 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
TigerGraph social profiles
Digital presenceTigerGraph financial estimates
Financial estimateRevenue estimate
Valuation estimate
TigerGraph leadership team
Management profileNumber of profiles
Profiles10 records
TigerGraph subsidiaries and ownership
Company hierarchySubsidiaries1 record
TigerGraph funding detail
Funding detailFunding overview
Funding rounds8 records
Investors18 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
TigerGraph M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about TigerGraph
What does TigerGraph do?
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.
Is TigerGraph a public or private company?
TigerGraph is a private company. It is classified as venture growth investor backed.
When was TigerGraph founded?
TigerGraph was founded in 2012. It employs 101 to 250 people.
Where is TigerGraph based?
TigerGraph is headquartered in Redwood City, United States, in the North America region.
How does TigerGraph make money?
Four revenue lines are on record. TigerGraph Savanna / Enterprise Subscription is the primary driver. The others are community Edition (Freemium), professional Services, Training & Support and enterprise Software Licensing.
Who are TigerGraph's main competitors?
Direct peers on record are Neo4j, ArangoDB and Stardog. Broad incumbents are Amazon Neptune, Microsoft Azure Cosmos DB and Databricks. Emerging players are Memgraph, JanusGraph and Pinecone. Ontotext (GraphDB) is listed as a regional player.
Does TigerGraph have an API?
Yes. TigerGraph offers REST APIs and GraphQL support alongside SDKs in Python, Java, and JavaScript for building graph applications, executing queries, loading data, integrating with enterprise systems, and automating graph analytics workflows. Developers can use these APIs to programmatically manage graph schemas, run GSQL queries, perform multi-hop traversals, and connect to pre-built data sources including Kafka, Spark, Snowflake, Databricks, S3, and Tableau. Developer documentation is at www.tigergraph.com/docs.
What industry is TigerGraph in?
TigerGraph's product category is Enterprise Graph Database Platform. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAEABAB, Lakehouse Platforms. Its NAICS code is 5132 and its SIC code is 7372.