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TigerGraph is a graph analytics software company providing a graph AI platform built on a distributed native graph database.

Last updated September 15, 2026

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Nov 4, 2026
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Nov 4, 2026

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Overview

TigerGraph is a graph analytics software company that specializes in connecting data assets to deliver enterprise-level knowledge and insights. It provides a graph AI platform built on a distributed native graph database, with a SQL-like query language and integrated tooling and enterprise connectors. The platform is positioned as a relationship intelligence and control layer for enterprise AI, connecting AI decisions to governed, real-time evidence, and is built for fraud, AML/KYC, identity, customer intelligence, and AI systems operating in regulated environments at enterprise scale.

History

TigerGraph is a graph analytics software company that specializes in connecting data assets to deliver enterprise-level knowledge and insights. It provides a graph AI platform built on the industry's first and only distributed native graph database, which comes with a SQL-like query language and tightly integrates tooling and enterprise connectors to ensure data scientists and developers can design and deploy analytical solutions in weeks. The company positions its platform as the relationship intelligence and control layer for enterprise AI, connecting every AI decision to governed, real-time evidence so agents can reason, act, and be audited with confidence, and states it is built for fraud, AML/KYC, identity, customer intelligence, and AI systems operating in regulated environments at enterprise scale.

Products and positioning

Relationship intelligence and control layer for enterprise AI, built for fraud, AML/KYC, identity, customer intelligence, and AI systems operating in regulated environments at enterprise scale.

  • Graph AI platform

    A graph AI platform built on a distributed native graph database with a SQL-like query language and integrated tooling and enterprise connectors.

  • GSQL

    A powerful graph language that combines SQL style, procedural programming, parallel processing, and user-defined functions for efficient and advanced analytics.

  • GraphStudio Visual SDK

    A visual SDK listed among TigerGraph's product features.

Recent events

  • Reported

    TigerGraph Cloud adds Google Cloud Platform support[5]

    TigerGraph announced expanded TigerGraph Cloud support for Google Cloud Platform workloads, adding GCP to its existing AWS and Azure availability.

  • Reported

    TigerGraph announces Snowflake and Tableau connectors[5]

    TigerGraph announced connectors for Snowflake and Tableau, enabling users to access relationship analytics from those services' dashboards.

  • Reported

    TigerGraph completes $105 million Series C funding[6]

    TigerGraph announced that it had completed a $105 million Series C funding round led by Tiger Global.

  • Unconfirmed

    Reported

    TigerGraph Cloud becomes generally available[7]

    TigerGraph announced that its cloud product, TigerGraph Cloud, was fully available and could be deployed on Microsoft Azure, adding Azure as a supported cloud after AWS.

  • Reported

    Ronghui Jinke and TigerGraph announce a strategic partnership[8]

    Ronghui Jinke and TigerGraph announced a strategic partnership to collaborate in financial risk-control services and the application of association networks.

  • Reported

    TigerGraph launches TigerGraph Cloud[9]

    TigerGraph introduced TigerGraph Cloud, a managed graph database-as-a-service platform.

  • Reported

    TigerGraph Cloud becomes generally available[10]

    TigerGraph announced the general availability of TigerGraph Cloud, a cloud-native version of its graph database product, with a free trial option and starter kits.

  • Reported

    TigerGraph raises $32 million in Series B funding[10]

    TigerGraph announced a $32 million Series B funding round, bringing its total financial backing to nearly $67 million. The round was led by Susquehanna International Group.

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