What is TigerGraph?
TigerGraph operates at the intersection of big data and artificial intelligence, providing the industry's first distributed native graph database. By enabling deep link analysis and real-time insights on connected data, the platform empowers organizations to solve high-stakes challenges such as anti-money laundering (AML), entity resolution, and cybersecurity. Headquartered in Redwood City, California, the company has established itself as a foundational layer for modern data stacks, facilitating knowledge graph development and IoT network analysis for global enterprises.
How much funding has TigerGraph raised?
TigerGraph has raised a total of $169M across 4 funding rounds:
Series A
$31M
Series B
$32M
Debt
$1M
Series C
$105M
Series A (2017): $31M with participation from Danhua Capital, DCVC, Morado Ventures, AME Cloud, Ant Financial, Qiming Venture Partners, and Baidu
Series B (2019): $32M led by SIG
Debt (2020): $1M supported by PPP
Series C (2021): $105M featuring Tiger Global
Key Investors in TigerGraph
Danhua Capital
DHVC is a venture capital firm specializing in early and growth-stage companies that leverage disruptive technologies like AI, Big Data, and enterprise software.
DCVC
DCVC is a deep tech venture capital firm that invests in entrepreneurs tackling global challenges by leveraging artificial intelligence and industrial-scale innovation.
Morado Ventures
Morado Ventures is a tech-forward seed fund focused on supporting data-driven companies that are developing transformative solutions in AI, robotics, and industrial IoT.
What's next for TigerGraph?
With the support of major institutional backers, TigerGraph is well-positioned to accelerate its product roadmap and expand its global footprint. The current lifecycle stage, characterized by major enterprise-level funding, suggests a strategic pivot toward scaling operations and deepening its penetration into high-growth sectors like fintech and industrial IoT. Future initiatives will likely focus on enhancing the scalability of its graph analytics engine and fostering a broader ecosystem of developers and data scientists who rely on TigerGraph to derive actionable intelligence from increasingly complex, interconnected datasets.
See full TigerGraph company page
