graph-database
(10)
Aerospike
Aerospike built its reputation in the least forgiving corner of software: decisions that must be correct before the next millisecond arrives. Now the database specialist is turning that discipline toward AI, graph workloads and a managed cloud business.
Ardoq
Ardoq is a Norwegian enterprise architecture software company that helps large organizations map, understand, and transform their technology and business landscapes. Its cloud-based, graph-powered platform turns tangled application portfolios, data flows, and business capabilities into living, queryable models so leaders can plan cloud migrations, rationalize applications, manage risk, and steer digital transformation with current data rather than static diagrams. Founded in 2013 and headquartered in Oslo, Ardoq serves more than 400 enterprises worldwide and has pushed toward an AI-first approach that reasons over the architecture graph.
Cognizer Inc
Cognizer is a Pleasanton, California enterprise AI company that turns messy contract documents into structured, queryable intelligence. Its patented Genius technology pairs natural language AI with a knowledge graph so legal, sales, procurement, finance and compliance teams can discover, classify and analyze contracts at scale - detecting clauses, mapping parent/child document families and answering plain-language questions across millions of documents.
TigerGraph
TigerGraph is a Redwood City-based software company building a native, massively parallel graph database and analytics platform designed to find patterns across deeply connected data in real time. Founded in 2012 by Dr. Yu Xu, it powers fraud detection, anti-money laundering, customer 360, recommendation engines and, increasingly, the relationship-intelligence layer behind enterprise AI and GraphRAG. Its cloud-native platform, TigerGraph Savanna, lets organizations query trillions of edges with the GSQL query language across AWS, Azure and Google Cloud.
Tom Sawyer Software
Tom Sawyer Software is a Berkeley, California company founded in 1992 - the first commercial firm devoted entirely to graph visualization, layout, and analysis. Its low-code platform, Tom Sawyer Perspectives, plus tools like Explorations and the SysML v2 Viewer, let enterprises, governments, and software vendors turn tangled networks of data into readable pictures: fraud rings, supply chains, telecom topologies, and system models. Bootstrapped, profitable, and global, it has spent three decades drawing the lines between things.
Neo4j
Neo4j is the company behind the world's most widely deployed graph database. It stores data as nodes and relationships rather than rows and tables, which makes connections - the part most databases treat as an afterthought - the main event. Used by a large majority of the Fortune 100 and a community of more than 250,000 developers, Neo4j powers fraud detection, recommendation engines, supply-chain analysis, and, increasingly, the knowledge graphs that ground generative AI in real facts (GraphRAG).
Emil Eifrem
Emil Eifrem is the co-founder and CEO of Neo4j, the company he built from a cocktail-napkin sketch on a 2000 flight to Mumbai into the world's leading graph database platform. He coined the term 'graph database,' developed the property graph model, and has guided Neo4j to a $2.2B valuation, over $200M in annual revenue, and adoption by 84 of the Fortune 100. Beyond enterprise metrics, he launched the Graphs4Good program channeling graph technology toward cancer research, pandemic supply chains, and investigative journalism — most famously the Panama Papers investigation that won the Pulitzer Prize and toppled Iceland's government.
NebulaGraph, powered by Vesoft
NebulaGraph is an open-source, distributed graph database engineered by Vesoft for super-large-scale graphs - trillions of edges and vertices - with millisecond latency. Born in 2018 and shipped on GitHub in 2019, it powers graph workloads at Tencent, Meituan, JD Digits, Kuaishou and hundreds of other enterprises tackling fraud detection, recommendation, knowledge graphs and graph RAG.
Sherman Ye
Sherman Ye is the Founder and CEO of NebulaGraph (vesoft Inc.), the company behind one of the world's most scalable open-source distributed graph databases. After engineering stints at Facebook and Ant Financial — where he worked directly on graph database infrastructure — Ye founded vesoft in 2018 to bring enterprise-grade graph database technology to a market hungry for connected-data insights. NebulaGraph can handle trillions of edges with millisecond latency, and counts Tencent, Meituan, and JD Digits among its users. Ye led the company through a $8M pre-A round in 2020 and a Series A in 2022 led by Jeneration Capital, while pioneering the GraphRAG concept that merges knowledge graphs with large language models.
Brendan Madden
Brendan Madden is the founder and CEO of Tom Sawyer Software, a Berkeley-based pioneer in graph visualization and analysis technology that he has led since 1992. With four decades of experience in the graph field - starting at IBM's Thomas J. Watson Research Center - Madden built one of the world's foremost graph visualization platforms, serving industries from finance and government to manufacturing and cybersecurity. Under his leadership, Tom Sawyer Software has become a go-to platform for building scalable graph-powered applications, digital twins, and systems modeling tools, with the company's latest push into AI-powered graph technologies and SysML v2 viewer capabilities.